Dynamic optimisation of evolving connectionist system training parameters by pseudo-evolution strategy

Proceedings of the IEEE Conference on Evolutionary Computation, ICEC

Volumn 2, Issue , 2001, Pages 1335-1342

  Watts, M ^a   Kasabov, N ^a  

^a UNIVERSITY OF OTAGO   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; LEARNING ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION;

EVOLVING CONNECTIONIST SYSTEM (ECOS);

LEARNING SYSTEMS;

EID: 0034863473     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. A survey of evolution strategies
2. ECOS: A framework for evolving connectionist systems and the eco learning paradigm
3. The ECOS framework and the ECO learning method for evolving connectionist systems
4. A resource-allocating network for function interpolation
5. The development of the otago speech database
6. Genetic algorithms for the design of fuzzy neural networks
7. An investigation of the properties of evolving fuzzy neural networks
8. Simple evolving connectionist systems and experiments on isolated phoneme recognition