IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
A neuro-fuzzy method to learn fuzzy classification rules from data
Fuzzy Sets and Systems - Special issue: application of neuro-fuzzy systems
An Efficient Fuzzy C-Means Clustering Algorithm
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Fitness landscape analysis and memetic algorithms for the quadratic assignment problem
IEEE Transactions on Evolutionary Computation
Possibility-based fuzzy neural networks and their application toimage processing
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Genetic reinforcement learning through symbiotic evolution forfuzzy controller design
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An efficient fuzzy classifier with feature selection based on fuzzyentropy
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An online self-constructing neural fuzzy inference network and its applications
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Self-adaptive neuro-fuzzy inference systems for classification applications
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Hierarchical image coding via cerebellar model arithmetic computers
IEEE Transactions on Image Processing
Neural-network feature selector
IEEE Transactions on Neural Networks
GenSoFNN: a generic self-organizing fuzzy neural network
IEEE Transactions on Neural Networks
Recurrent neuro fuzzy control design for tracking of mobile robots via hybrid algorithm
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
ART-type CMAC network classifier
Neurocomputing
MIMO CMAC neural network classifier for solving classification problems
Applied Soft Computing
Grey adaptive growing CMAC network
Applied Soft Computing
An efficient CMAC neural network for stock index forecasting
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
This paper shows fundamentals and applications of the parametric fuzzy cerebellar model articulation controller (P-FCMAC) network. It resembles a neural structure that derived from the Albus CMAC and Takagi-Sugeno-Kang parametric fuzzy inference systems. In this paper, a novel hybrid learning which consists of self-clustering algorithm (SCA) and modified genetic algorithms (MGA) is proposed for solving the classification problems. The SCA scheme is a fast, one-pass algorithm for a dynamic estimation of the number of hypercube cells in an input data space. The clustering technique does not require prior knowledge such as the number of clusters present in a data set. The number of fuzzy hypercube cells and the adjustable parameters in P-FCMAC are designed by the MGA. The MGA uses the sequential-search based efficient generation (SSEG) method to generate an initial population to determine the most efficient mutation points. Illustrative examples were conducted to show the performance and applicability of the proposed model.