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Title: | Nonlinear systems identification using RBF neural networks | Authors: | Tan, Shaohua Hao, Jianbin Vandewalle, Joos |
Issue Date: | 1993 | Citation: | Tan, Shaohua,Hao, Jianbin,Vandewalle, Joos (1993). Nonlinear systems identification using RBF neural networks. Proceedings of the International Joint Conference on Neural Networks 2 : 1833-1836. ScholarBank@NUS Repository. | Abstract: | We present a recursive nonlinear identification technique based on feedforward neural networks. A distinct feature of the proposed technique is the use of Radial-Basis-Function (RBF) neural nets as generic discrete nonlinear model structure. RBF nets have enabled us to devise a stable weight updating algorithm that guarantees the convergence of the weights to the target values. A simulation example is provided to illustrate the effectiveness of the method. | Source Title: | Proceedings of the International Joint Conference on Neural Networks | URI: | http://scholarbank.nus.edu.sg/handle/10635/72802 | ISBN: | 0780314212 |
Appears in Collections: | Staff Publications |
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