Time series prediction using chaotic neural networks on the CATS benchmark

Author:

Beliaev Igor,Kozma Robert

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference22 articles.

1. Identification of nonlinear dynamics using a general spatio-temporal network;Atiya;Math. Comput. Model. J.,1995

2. I. Beliaev, R. Kozma, Studies on the memory capacity and robustness of chaotic dynamic neural networks, in: IJCNN 2006, Vancouver, Canada.

3. X. Cai, N. Zhang, G.K. Venaygamoorthy, D.C. Wunsch II, Time series prediction with recurrent neural networks using a hybrid PSO-EA algorithm, in: Proceedings of 2004 IEEE IJCNN, Budapest, July 2004.

4. Optimization of Olfactory model in software to give 1/f spectra reveals numerical instabilities in solutions governed by aperiodic (chaotic) attractors;Chang;Neural Networks,1998

5. S.F. Crone, H. Kausch, D. Pressmar, Prediction of the CATS benchmark using a business forecasting approach to mulitlayer perceptron modelling, in: Proceedings of IJCNN’04, Budapest, 2004.

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