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Your search keyword '"Ludermir, Teresa B."' showing total 2 results
Start Over Author "Ludermir, Teresa B." Search Limiters Peer Reviewed Topic artificial intelligence Topic time series analysis
2 results on '"Ludermir, Teresa B."'

1. Optimization of the weights and asymmetric activation function family of neural network for time series forecasting.

Author

Gomes, Gecynalda S. da S. and Ludermir, Teresa B.

Subjects
*MATHEMATICAL optimization, *ARTIFICIAL neural networks, *TIME series analysis, *MATHEMATICAL functions, *SIMULATION methods & models, *TABU search algorithm, *COMPUTER systems, *ARTIFICIAL intelligence
Abstract

Highlights: [•] We present a method for optimization of the activation functions for ANN. [•] The proposed optimization method uses Simulated Annealing and Tabu Search. [•] The proposed method is good for forecasting distinct time series. [ABSTRACT FROM AUTHOR]

Published
2013
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2. Meta-learning approaches to selecting time series models

Author

Prudêncio, Ricardo B.C. and Ludermir, Teresa B.

Subjects
*TIME series analysis, *MACHINE learning, *ARTIFICIAL intelligence, *ALGORITHMS
Abstract

We present here an original work that applies meta-learning approaches to select models for time-series forecasting. In our work, we investigated two meta-learning approaches, each one used in a different case study. Initially, we used a single machine learning algorithm to select among two models to forecast stationary time series (case study I). Following, we used the NOEMON approach, a more recent work in the meta-learning area, to rank three models used to forecast time series of the M3-Competition (case study II). The experiments performed in both case studies revealed encouraging results. [Copyright &y& Elsevier]

Published
2004
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