Introduction
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Introduces the chapter, including information on additional resources and important functions
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Radial Basis Functions
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Discusses the architecture and design of radial basis networks, including examples of both exact and more efficient designs
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Generalized Regression Networks
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Discusses the network architecture and design of generalized regression networks
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Probabilistic Neural Networks
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Discusses the network architecture and design of probabilistic neural networks
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Summary
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Provides a consolidated review of the chapter concepts
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