Abstract
This chapter introduces several supervised evolving connectionist systems, which include some well-known models, along with a new model — the evolving fuzzy neural network (EFuNN). The chapter is presented in the following sections: Principles and architectures of connectionist systems for on-line supervised learning Evolving fuzzy neural networks — EFuNN Knowledge manipulation in evolving fuzzy neural networks (EFuNNs) — rule insertion, rule extraction, rule aggregation On-line evaluation, feature modification and parameter adaptation in EFuNNs
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