This paper presents a fuzzy hybrid learning algorithm (FHLA) for the radial basis function neural network (RBFNN). The method determines the number of hidden neurons in the RBFNN structure by using cluster validity indices with majority rule while the characteristics of the hidden neurons are initia
Radial basis function networks with hybrid learning for system identification with outliers
โ Scribed by Yu-Yi Fu; Chia-Ju Wu; Chia-Nan Ko; Jin-Tsong Jeng
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 960 KB
- Volume
- 11
- Category
- Article
- ISSN
- 1568-4946
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