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399 results on '"Nawi, Nazri Mohd"'

1. Comparative Assessment of Facial Expression Recognition Models for Unraveling Emotional Signals with Convolutional Neural Networks

Author

Zafar, Afia, Nawi, Nazri Mohd, Saba, Noushin, Zafar, Kainat, Suleman, Mohsin, Zafar, Shahneer, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Ghazali, Rozaida, editor, Nawi, Nazri Mohd, editor, Deris, Mustafa Mat, editor, Abawajy, Jemal H., editor, and Arbaiy, Nureize, editor

Published
2024
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5. The Comparative Performance Analysis of Clustering Algorithms

Author

Amna, Nawi, Nazri Mohd, Aamir, Muhammad, Mushtaq, Muhammad Faheem, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Ghazali, Rozaida, editor, Mohd Nawi, Nazri, editor, Deris, Mustafa Mat, editor, Abawajy, Jemal H., editor, and Arbaiy, Nureize, editor

Published
2022
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6. Improving Genetic Algorithm to Attain Better Routing Solutions for Real-World Water Line System

Author

Mostafa, Salama A., Juman, Z. A. M. S., Nawi, Nazri Mohd, Mahdin, Hairulnizam, Mohammed, Mazin Abed, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Ghazali, Rozaida, editor, Mohd Nawi, Nazri, editor, Deris, Mustafa Mat, editor, Abawajy, Jemal H., editor, and Arbaiy, Nureize, editor

Published
2022
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7. Customer’s Behavior in Purchase Decision of Textile Materials: Rough-Regression Model

Author

Rasyidah, Efendi, Riswan, Nawi, Nazri Mohd., Maulana, Herdyan, Chairani, Lisya, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Ghazali, Rozaida, editor, Mohd Nawi, Nazri, editor, Deris, Mustafa Mat, editor, Abawajy, Jemal H., editor, and Arbaiy, Nureize, editor

Published
2022
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8. Fuzzy Density-Based Clustering for Medical Diagnosis

Author

Waqas, Syed Muhammad, Hussain, Kashif, Mostafa, Salama A., Nawi, Nazri Mohd, Khan, Sumra, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Ghazali, Rozaida, editor, Mohd Nawi, Nazri, editor, Deris, Mustafa Mat, editor, Abawajy, Jemal H., editor, and Arbaiy, Nureize, editor

Published
2022
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9. IFPDSO-PS: A Hybrid Approach for Global and Local Optimization

Author

Kamboh, Muhammad Iqbal, Nawi, Nazri Mohd, Mohamad, Radiah, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Ghazali, Rozaida, editor, Mohd Nawi, Nazri, editor, Deris, Mustafa Mat, editor, Abawajy, Jemal H., editor, and Arbaiy, Nureize, editor

Published
2022
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10. Lungs Cancer Nodules Detection from CT Scan Images with Convolutional Neural Networks

Author

Rehman, Muhammad Zubair, Nawi, Nazri Mohd, Tanveer, Aisha, Zafar, Hassan, Munir, Hamza, Hassan, Sher, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Ghazali, Rozaida, editor, Nawi, Nazri Mohd, editor, Deris, Mustafa Mat, editor, and Abawajy, Jemal H., editor

Published
2020
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11. An Enhanced Model for Digital Reference Services

Author

Shahzad, Asim, Nawi, Nazri Mohd, Mahdin, Hairulnizam, Khan, Sundas Naqeeb, Hamid, Norhamreeza Abdul, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Ghazali, Rozaida, editor, Nawi, Nazri Mohd, editor, Deris, Mustafa Mat, editor, and Abawajy, Jemal H., editor

Published
2020
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13. Optimized Weight Selection in Levenberg-Marquardt Back-Propagation Using Wolf Search

Author

Rehman, M. Z., Tanveer, Aisha, Nawi, Nazri Mohd, Zamli, Kamal Z., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Mohd Razman, Mohd Azraai, editor, Mat Jizat, Jessnor Arif, editor, Mat Yahya, Nafrizuan, editor, Myung, Hyun, editor, Zainal Abidin, Amar Faiz, editor, and Abdul Karim, Mohamad Shaiful, editor

Published
2020
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18. A Group-Based Feature Selection Approach to Improve Classification of Holy Quran Verses

Author

Adeleke, Abdullahi O., Samsudin, Noor Azah, Mustapha, Aida, Nawi, Nazri Mohd, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Ghazali, Rozaida, editor, Deris, Mustafa Mat, editor, Nawi, Nazri Mohd, editor, and Abawajy, Jemal H., editor

Published
2018
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19. RMIL/AG: A New Class of Nonlinear Conjugate Gradient for Training Back Propagation Algorithm

Author

Basri, Sri Mazura Muhammad, Nawi, Nazri Mohd, Mamat, Mustafa, Hamid, Norhamreeza Abdul, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Ghazali, Rozaida, editor, Deris, Mustafa Mat, editor, Nawi, Nazri Mohd, editor, and Abawajy, Jemal H., editor

Published
2018
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20. Studying the Effect of Optimizing Weights in Neural Networks with Meta-Heuristic Techniques

Author

Nawi, Nazri Mohd., Khan, Abdullah, Rehman, M. Z., Naseem, Rashid, Uddin, Jamal, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Abawajy, Jemal H., editor, Othman, Mohamed, editor, Ghazali, Rozaida, editor, Deris, Mustafa Mat, editor, Mahdin, Hairulnizam, editor, and Herawan, Tutut, editor

Published
2019
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21. HAPSOENN: Hybrid Accelerated Particle Swarm Optimized Elman Neural Network

Author

Nawi, Nazri Mohd., Khan, Abdullah, Muhamadan, Nurul Syazwani, Rehman, M. Z., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Abawajy, Jemal H., editor, Othman, Mohamed, editor, Ghazali, Rozaida, editor, Deris, Mustafa Mat, editor, Mahdin, Hairulnizam, editor, and Herawan, Tutut, editor

Published
2019
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22. The Effect of Two-Term Parameters on the Performance of Third-Order Neural Network on Medical Classification Problems

Author

Nawi, Nazri Mohd, Roslan, Khairina Mohamad, Kamal, Shahrul Bariah Mustaffa, Hamid, Noorhamreeza Abdul, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Piuri, Vincenzo, editor, Balas, Valentina Emilia, editor, Borah, Samarjeet, editor, and Syed Ahmad, Sharifah Sakinah, editor

Published
2019
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24. Optimizing Weights in Elman Recurrent Neural Networks with Wolf Search Algorithm

Author

Nawi, Nazri Mohd., Rehman, M. Z., Hamid, Norhamreeza Abdul, Khan, Abdullah, Naseem, Rashid, Uddin, Jamal, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Herawan, Tutut, editor, Ghazali, Rozaida, editor, Nawi, Nazri Mohd, editor, and Deris, Mustafa Mat, editor

Published
2017
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25. Chicken S-BP: An Efficient Chicken Swarm Based Back-Propagation Algorithm

Author

Khan, Abdullah, Nawi, Nazri Mohd, Shah, Rahmat, Akhter, Nasreen, Ullah, Atta, Rehman, M. Z., AbdulHamid, Norhamreeza, Chiroma, Haruna, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Herawan, Tutut, editor, Ghazali, Rozaida, editor, Nawi, Nazri Mohd, editor, and Deris, Mustafa Mat, editor

Published
2017
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26. Using Artificial Bee Colony Algorithm for MLP Training on Earthquake Time Series Data Prediction

Author

Shah, Habib, Ghazali, Rozaida, and Nawi, Nazri Mohd

Subjects
Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence, Computer Science - Learning
Abstract

Nowadays, computer scientists have shown the interest in the study of social insect's behaviour in neural networks area for solving different combinatorial and statistical problems. Chief among these is the Artificial Bee Colony (ABC) algorithm. This paper investigates the use of ABC algorithm that simulates the intelligent foraging behaviour of a honey bee swarm. Multilayer Perceptron (MLP) trained with the standard back propagation algorithm normally utilises computationally intensive training algorithms. One of the crucial problems with the backpropagation (BP) algorithm is that it can sometimes yield the networks with suboptimal weights because of the presence of many local optima in the solution space. To overcome ABC algorithm used in this work to train MLP learning the complex behaviour of earthquake time series data trained by BP, the performance of MLP-ABC is benchmarked against MLP training with the standard BP. The experimental result shows that MLP-ABC performance is better than MLP-BP for time series data., Comment: 8 pages,8 figures; http://www.journalofcomputing.org/volume-3-issue-6-june-2011

Published
2011

30. Computational issues in process optimisation using historical data

Author

Nawi, Nazri Mohd

Subjects
006.3
Abstract

This thesis presents a new generic approach to improve the computational efficiency of neural-network-training algorithms and investigates the applicability of its 'learning from examples'' featured in improving the performance of a current intelligent diagnostic system. The contribution of this thesis is summarised in the following two points: For the first time in the literature, it has been shown that significant improvements in the computational efficiency of neural-network algorithms can be achieved using the proposed methodology based on using adaptive-gain variation. The capabilities of the current Knowledge Hyper-surface method (Meghana R. Ransing, 2002) are enhanced to overcome its existing limitations in modelling an exponential increase in the shape of the hyper-surface. Neural-network techniques, particularly back-propagation algorithms, have been widely used as a tool for discovering a mapping function between a known set of input and output examples. Neural networks learn from the known example set by adjusting its internal parameters, referred to as weights, using an optimisation procedure based on the 'least square fit principle'. The optimisation procedure normally involves thousands of iterations to converge to an acceptable solution. Hence, improving the computational efficiency of a neural-network algorithm is an active area of research. Various options for improving the computational efficiency of neural networks have been reviewed in this thesis. It has been shown in the existing literature that the variation of the gain parameter improves the learning efficiency of the gradient-descent method. However, it can be concluded from previous researchers' claims that the adaptive-gain variation improved the learning rate and hence the efficiency. It was discovered in this thesis that the gain variation has no influence on the learning rate; however, it actually influences the search direction. This made it possible to develop a novel approach that modifies the gradient-search direction by introducing the adaptive-gain variation. The proposed method is robust and has been shown that it can easily be implemented in all commonly used gradient- based optimisation algorithms. It has also been shown that it significantly improves the computational efficiency as compared to existing neural-network training algorithms. Computer simulations on a number of benchmark problems are used throughout to illustrate the improvement proposed in this thesis. In a foundry a large amount of data is generated within the foundry every time a casting is poured. Furthermore, with the increased number of computing tools and power there is a need to develop an efficient, intelligent diagnostic tool that can learn from the historical data to gain further insight into cause and effect relationships. In this study the performance of the current Knowledge Hyper-surface method was reviewed and the mathematical formulation of the current Knowledge Hyper-surface method was analysed to identify its limitations. An enhancement is proposed by introducing mid-points in the existing shape formulation. It is shown that the midpoints' shape function can successfully constrain the shape of decision hyper-surface to become more realistic with an acceptable result in a multi-dimensional case. This is a novel and original approach and is of direct relevance to the foundry industry.

Published
2007

35. Cleansing of inconsistent sample in linear regression model based on rough sets theory

Author

Rasyidah, Rasyidah, Riswan Efendi, Riswan Efendi, Nazri Mohd. Nawi, Nazri Mohd. Nawi, Mustafa Mat Deris, Mustafa Mat Deris, S.M.Aqil Burney, S.M.Aqil Burney, Rasyidah, Rasyidah, Riswan Efendi, Riswan Efendi, Nazri Mohd. Nawi, Nazri Mohd. Nawi, Mustafa Mat Deris, Mustafa Mat Deris, and S.M.Aqil Burney, S.M.Aqil Burney

Abstract

The linear regression model is one of the most common and easiest algorithms used in machine learning for predictive analysis purposes. However, this model performs well under strict assumptions such as the number of observations, the linearity of variables, multicollinearity, homoskedasticity, reliability of measurement, and normality. Besides, there is no consideration to date for handling and cleansing inconsistent samples in the data sets. These samples may significantly influence the performance of multiple linear regression in terms of these assumptions and several aspects, such as adjusted R-square, intercept-slopes, exogenous variables, and the accuracy of prediction. In this paper, the data reduction strategy of rough sets was employed to remove and clean these types of samples, boosting the performance of the linear regression models. This strategy was evaluated by examining three different effects; adjusted R-square, slopes-intercepts, and mean square error of the regression model. Simulated data and simple modeling problems were used to determine the effects of these three aspects. The secondary data sets were collected from various domains to examine the proposed rough-regression model. The simulation results showed that the data reduction strategy is exceedingly effective to boost the performance of the multiple linear regression in the three aspects above. In the implementation, these aspects also performed better than before data reduction. The results from both simulations and implementations demonstrate that the data reduction of rough sets is a viable strategy in cleansing of the inconsistent samples in the linear regression models. Thus, the proposed rough regression model is effectively proven to support the data analysis of surveys or cross-sectional studies, especially when the stated aspects are not well fulfilled. Therefore, the surveys are not needed to be repeated and reconsidered by researchers.

Published
2023

41. Classify a Protein Domain Using SVM Sigmoid Kernel

Author

Hassan, Ummi Kalsum, Nawi, Nazri Mohd., Kasim, Shahreen, Ramli, Azizul Azhar, Fudzee, Mohd Farhan Md, Salamat, Mohamad Aizi, Kacprzyk, Janusz, Series editor, Herawan, Tutut, editor, Ghazali, Rozaida, editor, and Deris, Mustafa Mat, editor

Published
2014
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44. Neural Network Training by Hybrid Accelerated Cuckoo Particle Swarm Optimization Algorithm

Author

Nawi, Nazri Mohd, khan, Abdullah, Rehman, M. Z., Aziz, Maslina Abdul, Herawan, Tutut, Abawajy, Jemal H., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Loo, Chu Kiong, editor, Yap, Keem Siah, editor, Wong, Kok Wai, editor, Teoh, Andrew, editor, and Huang, Kaizhu, editor

Published
2014
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45. An Accelerated Particle Swarm Optimization Based Levenberg Marquardt Back Propagation Algorithm

Author

Nawi, Nazri Mohd, khan, Abdullah, Rehman, M. Z., Aziz, Maslina Abdul, Herawan, Tutut, Abawajy, Jemal H., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Loo, Chu Kiong, editor, Yap, Keem Siah, editor, Wong, Kok Wai, editor, Teoh, Andrew, editor, and Huang, Kaizhu, editor

Published
2014
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47. A New Cuckoo Search Based Levenberg-Marquardt (CSLM) Algorithm

Author

Nawi, Nazri Mohd., Khan, Abdullah, Rehman, Mohammad Zubair, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Murgante, Beniamino, editor, Misra, Sanjay, editor, Carlini, Maurizio, editor, Torre, Carmelo M., editor, Nguyen, Hong-Quang, editor, Taniar, David, editor, Apduhan, Bernady O., editor, and Gervasi, Osvaldo, editor

Published
2013
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48. A New Back-Propagation Neural Network Optimized with Cuckoo Search Algorithm

Author

Nawi, Nazri Mohd., Khan, Abdullah, Rehman, Mohammad Zubair, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Murgante, Beniamino, editor, Misra, Sanjay, editor, Carlini, Maurizio, editor, Torre, Carmelo M., editor, Nguyen, Hong-Quang, editor, Taniar, David, editor, Apduhan, Bernady O., editor, and Gervasi, Osvaldo, editor

Published
2013
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49. Global Artificial Bee Colony Algorithm for Boolean Function Classification

Author

Shah, Habib, Ghazali, Rozaida, Nawi, Nazri Mohd, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Selamat, Ali, editor, Nguyen, Ngoc Thanh, editor, and Haron, Habibollah, editor

Published
2013
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