Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Evolutionary Optimization of RBF Networks
SBRN '00 Proceedings of the VI Brazilian Symposium on Neural Networks (SBRN'00)
Growing Compact RBF Networks Using a Genetic Algorithm
SBRN '02 Proceedings of the VII Brazilian Symposium on Neural Networks (SBRN'02)
Comparison of Performance between Different Selection Strategies on Simple Genetic Algorithms
CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-2 (CIMCA-IAWTIC'06) - Volume 02
Genetic optimizations for radial basis function and general regression neural networks
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
A general regression neural network
IEEE Transactions on Neural Networks
Neuro semantic thresholding using OCR software for high precision OCR applications
Image and Vision Computing
Expert Systems with Applications: An International Journal
A comparison of regression methods for remote tracking of Parkinson's disease progression
Expert Systems with Applications: An International Journal
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This paper describes an approach for pattern recognition using genetic algorithm and general regression neural network (GRNN). The designed system can be used for both 3D object recognition from 2D poses of the object and handwritten digit recognition applications. The system does not require any preprocessing and feature extraction stage before the recognition. In GRNN, placement of centers has significant effect on the performance of the network. The centers and widths of the hidden layer neuron basis functions are coded in a chromosome and these two critical parameters are determined by the optimization using genetic algorithms. Experimental results show that the optimized GRNN provides higher recognition ability compared with that of unoptimized GRNN.