Application of a general learning algorithm to the control of robotic manipulators
International Journal of Robotics Research
Introduction to Grey system theory
The Journal of Grey System
CMAC with general basis functions
Neural Networks
Basis function models of the CMAC network
Neural Networks
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
A CMAC-Type Neural Memory for Control Applications
MICRONEURO '96 Proceedings of the 5th International Conference on Microelectronics for Neural Networks and Fuzzy Systems
Single-input CMAC control system
Neurocomputing
Review: Application of CMAC neural network to the control of induction motor drives
Applied Soft Computing
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Credit assigned CMAC and its application to online learning robust controllers
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A self-organizing CMAC network with gray credit assignment
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Generalizing CMAC architecture and training
IEEE Transactions on Neural Networks
A self-organizing HCMAC neural-network classifier
IEEE Transactions on Neural Networks
Tikhonov training of the CMAC neural network
IEEE Transactions on Neural Networks
Neighborhood sequential and random training techniques for CMAC
IEEE Transactions on Neural Networks
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Cerebellar Model Articulation Controller (CMAC) NN is a computational model of cerebellum introduced as an alternative to backpropagated multilayer networks to control robot arms. From then it has seen many improvements and has been applied in many other areas as a general NN. These improvements have been in the context of generalization, learning techniques, differentiability, memory size, fuzzification and hardware implementation. This paper is a systematic review of CMAC's different structures and applications.