Evolving neural networks: Is it really worth the effort?

ESANN 2005 Proceedings - 13th European Symposium on Artificial Neural Networks

Volumn , Issue , 2007, Pages 267-272

  Bullinaria, John A ^a  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EMPIRICAL STUDIES; EVOLUTIONARY PROCESS; EVOLVING NEURAL NETWORK; SIMULATED EVOLUTIONS;

ARTIFICIAL INTELLIGENCE; COGNITIVE SYSTEMS;

NEURAL NETWORKS;

EID: 84887008723     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. X. Yao, Evolving Artificial Neural Networks. Proceedings of the IEEE, vol. 87, pp. 1423-1447, 1999.
2. J.A. Bullinaria, Evolving Efficient Learning Algorithms for Binary Mappings. Neural Networks, vol. 16, pp. 793-800, 2003.
3. J.A. Bullinaria, Simulating the Evolution of Modular Neural Systems. In Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society, Mahwah, NJ: Lawrence Erlbaum Associates, pp. 146-151, 2001.
4. J.G. Rueckl, K.R. Cave and S.M. Kosslyn, Why are "What" and "Where" Processed by Separate Cortical Visual Systems? A Computational Investigation. Journal of Cognitive Neuroscience, vol. 1, pp. 171-186, 1989.
5. R.A. Jacobs, Increased Rates Of Convergence Through Learning Rate Adaptation. Neural Networks, vol. 1, pp. 295-307, 1988.