Evolutionary Computation for Dynamic Parameter Optimisation of Evolving Connectionist Systems for On-line Prediction of Time Series with Changing Dynamics
The paper describes a method of using evolutionary computation technique for parameter optimisation of evolving connectionist systems (ECOS) that operate in an online, life-long learning mode. ECOS evolve their structure and functionality from an incoming stream of data in either a supervised-, or/a...
| Main Authors: | , , |
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| Format: | Others |
| Published: |
IEEE,
2009-05-27T22:18:48Z.
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| Subjects: | |
| Online Access: | Get fulltext |