한국시뮬레이션학회:학술대회논문집 (Proceedings of the Korea Society for Simulation Conference)
- 한국시뮬레이션학회 2001년도 The Seoul International Simulation Conference
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- Pages.297-300
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- 2001
A Practical Radial Basis Function Network and Its Applications
- Yang, S.Q. (Dalian Maritime University & Dalian Naval Academy) ;
- Jia, C.Y. (Dalian Naval Academy)
- 발행 : 2001.10.01
초록
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.