A massively parallel architecture for a self-organizing neural pattern recognition machine
Computer Vision, Graphics, and Image Processing
C4.5: programs for machine learning
C4.5: programs for machine learning
Hybrid Evolutionary Search Method Based on Clusters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generating Accurate Rule Sets Without Global Optimization
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Evolutionary Neural Networks for Nonlinear Dynamics Modeling
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
A learning system based on genetic adaptive algorithms
A learning system based on genetic adaptive algorithms
Evolving efficient learning algorithms for binary mappings
Neural Networks - 2003 Special issue: Advances in neural networks research — IJCNN'03
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Bayesian training of neural networks using genetic programming
Pattern Recognition Letters
LFOIL: Linguistic rule induction in the label semantics framework
Fuzzy Sets and Systems
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Evolutionary optimization in uncertain environments-a survey
IEEE Transactions on Evolutionary Computation
On the optimal design of fuzzy neural networks with robust learningfor function approximation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Genetic design of biologically inspired receptive fields for neural pattern recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Evolutionary optimization of radial basis function classifiers for data mining applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Genetic programming for simultaneous feature selection and classifier design
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Evolutionary computing for knowledge discovery in medical diagnosis
Artificial Intelligence in Medicine
A new evolutionary system for evolving artificial neural networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Statistical analysis of the parameters of a neuro-genetic algorithm
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Mutation-based genetic neural network
IEEE Transactions on Neural Networks
Incremental learning with multi-level adaptation
Neurocomputing
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In this paper, two mutation-based evolving artificial neural networks, which are based on the Fuzzy ARTMAP (FAM) network and evolutionary programming, are proposed. The networks utilize the knowledge base extracted from a set of data to perform search and adaptation. The performances of the two networks are assessed using benchmark problems, with the results analyzed and discussed. The effects of the network parameters are evaluated through a parametric study. The applicability of the networks is also demonstrated using a real fault detection and diagnosis task in a power generation plant. The experimental results consistently indicate the usefulness of the proposed evolutionary FAM-based networks in yielding good classification performances with parsimonious network structures.