Some Properties of RBF Network with Applications to System Identification
作者： M. Y. Mashor
DOI:
关键词: Basis function 、 Overfitting 、 System identification 、 Relation (database) 、 Network expansion 、 Network structure 、 Probabilistic neural network 、 Engineering 、 Artificial intelligence
摘要: Performance of RBF network depends on the choice basis functions, input nodes, hidden nodes and so on. Hence, study these components is important for selecting a good structure. This paper investigates properties in relation to system identification. Network such as expansion, function, assignment, underfitting overfitting were investigated.
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