An input-output clustering approach to the synthesis of ANFIS networks.
A useful neural network paradigm for the solution of function approximation problems is represented by adaptive neuro-fuzzy inference systems (ANFIS). Data driven procedures for the synthesis of ANFIS networks are typically based on clustering a training set of numerical samples of the unknown funct...
| Опубликовано в:: | IEEE Transactions on fuzzy systems 13, 1 (2005). |
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| Главный автор: | |
| Формат: | Статья |
| Язык: | English |
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