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Emerging higher-level artificial neural network-based intelligent systems.

Authors :
Mohammed, Sabah
Ramos, Carlos
Fang, Wai Chi
Kim, Tia-hoon
Source :
Neural Computing & Applications; May2021, Vol. 33 Issue 10, p4595-4597, 3p
Publication Year :
2021

Abstract

Artificial intelligence (AI) including symbolic AI with deep learning neural networks represents incredibly exciting and powerful machine learning-based techniques used to solve and explain many real-world problems. The synthetic feature XGBoost algorithm effectively integrates multi-source data information and obtains high GDP prediction accuracy. This paper by Dianjun Zhang et al. used two deep learning algorithms: the mask R-CNN algorithm and the faster R-CNN algorithm to build ship target feature extraction and recognition models based on deep convolutional neural networks. [Extracted from the article]

Details

Language :
English
ISSN :
09410643
Volume :
33
Issue :
10
Database :
Complementary Index
Journal :
Neural Computing & Applications
Publication Type :
Academic Journal
Accession number :
150023133
Full Text :
https://doi.org/10.1007/s00521-021-05783-4