This paper investigates the identification of nonlinear systems by utilizing soft-computing approaches. As the identification methods, feedforward neural network architecture (FNN), radial basis function neural networks (RBFNN), Runge-Kutta neural networks (RKNN) and adaptive neuro-fuzzy inference s
โฆ LIBER โฆ
Identification of a golf swing robot using soft computing approach
โ Scribed by Chaochao Chen; Yoshio Inoue; Kyoko Shibata
- Publisher
- Springer-Verlag
- Year
- 2010
- Tongue
- English
- Weight
- 519 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0941-0643
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