Book chapter
Identification of Hindmarsh-Rose Neuron Networks Using GEO Metaheuristic
Advances in Swarm Intelligence, pp.455-463
Lecture Notes in Computer Science, Springer Berlin Heidelberg
2011
DOI: 10.1007/978-3-642-21515-5_54
Abstract
In the last few years bio-inspired neural networks have interested an increasing number of researchers. In this paper, a novel approach is proposed to solve the problem of identifying the topology and parameters in Hindmarsh-Rose-neuron networks. The approach introduces generalized extremal optimization (GEO), a relatively new heuristic algorithm derived from co-evolution to solve the identification problem. Simulation results show that the proposed approach compares favorably with other heuristic algorithms based methods in existing literatures with smaller estimation errors. And it presents satisfying results even with noisy data.
Details
- Title: Subtitle
- Identification of Hindmarsh-Rose Neuron Networks Using GEO Metaheuristic
- Creators
- Lihe Wang - Shanghai Jiao Tong UniversityGenke Yang - Shanghai Jiao Tong UniversityLam Fat Yeung - City University of Hong Kong
- Resource Type
- Book chapter
- Publication Details
- Advances in Swarm Intelligence, pp.455-463
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/978-3-642-21515-5_54
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Language
- English
- Date published
- 2011
- Academic Unit
- Mathematics
- Record Identifier
- 9984241148502771
Metrics
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