A genetic-designed beta basis function neural network for multi-variable functions approximation
Systems Analysis Modelling Simulation - Special issue: Advances in control and computer engineering
Steady-state performance constraints for dynamical models based on RBF networks
Engineering Applications of Artificial Intelligence
Generalized Dynamic Fuzzy Neural Network-Based Tracking Control of Robot Manipulators
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Nonlinear system identification: From multiple-model networks to Gaussian processes
Engineering Applications of Artificial Intelligence
Technical data mining with evolutionary radial basis function classifiers
Applied Soft Computing
Training without data: knowledge insertion into RBF neural networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Equivalences between neural-autoregressive time series models and fuzzy systems
IEEE Transactions on Neural Networks
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
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We establish the functional equivalence of a generalized class of Gaussian radial basis function (RBFs) networks and the full Takagi-Sugeno model (1983) of fuzzy inference. This generalizes an existing result which applies to the standard Gaussian RBF network and a restricted form of the Takagi-Sugeno fuzzy system. The more general framework allows the removal of some of the restrictive conditions of the previous result