Supervised and Unsupervised Pattern Recognition

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This volume describes the application of a novel, unsupervised pattern recognition scheme to the classification of various types of waveforms and images. It begins with an introduction to Neural Networks (NNs), classifiers, and feature extraction methods, then addresses unsupervised neural networks and fuzzy neural networks and their applications to handwritten character recognition and recognition of normal and abnormal visual evoked potentials. The third section deals with advanced neural network architectures, including modular design and their applications to medicine and three-dimensional NN architecture simulating brain functions. The final section discusses general applications and simulations in various fields. TOC:Overviews of Neural Networks, Classifiers, and Feature Extraction Methods - Supervised Neural Networks.- Unsupervised Neural Networks.- Advanced Neural Network Architectures/Modular Neural Networks.- General Applications.