Proceedings of the Korea Society for Simulation Conference (한국시뮬레이션학회:학술대회논문집)

The Korea Society for Simulation (한국시뮬레이션학회)
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A Practical Radial Basis Function Network and Its Applications

  • Yang, S.Q. (Dalian Maritime University & Dalian Naval Academy) ;
  • Jia, C.Y. (Dalian Naval Academy)
  • Published : 2001.10.01
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Abstract

Artificial neural networks have become important tools in many fields. This paper describes a new algorithm fur training an RBF network. This algorithm has two main advantages: higher accuracy and a too stable learning process. In addition, it can be used as a good classifier in pattern recognition.

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