Backpropagation
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Provides in-depth discussion of backpropagation networks
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Control Systems
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Discusses predictive control, feedback linearization, and how to import and export networks and training data
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Radial Basis Networks
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Discusses radial basis networks, including generalized regression networks and probabilistic neural networks
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Self-Organizing and Learn. Vector Quant. Nets
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Discusses competitive networks, self-organizing feature maps, and vector quantization networks
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Recurrent Networks
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Discusses Elman and Hopfield network architectures
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Adaptive Filters and Adaptive Training
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Discusses adaptive filters and training including the mean square error learning rule and the LMS algorithm learning rule
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Applications
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Presents several scripts created using the Neural Network Toolbox
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Advanced Topics
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Discusses advanced topics such as custom networks, additional functions, and custom functions
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