Neural networks covered include the feedforward neural network and the self organizing map this book provides an ideal supplement to our other neural books this book is ideal for the reader without a formal mathematical background that seeks a more mathematical description of neural networks. Even as an introductory text the book does presume some fundamental math knowledge the basics of functions xy graph logic calculus for example but beyond that its a truly superb and thorough introduction to the math underlying neural networks nns. Not really an introduction to the mathematical theory underlying neural networks but rather a walk through an example with figures of how a simple neural network is set up assigned weights and how those weights are updated under a few different learning algorithms. Introduction to the math of neural networks by jeff heaton this book introduces the reader to the basic math used for neural network calculation this book assumes the reader has only knowledge of college algebra and computer programming. Chapter 1 neural network calculation matrix mathematics chapter 1 neural network calculation matrix mathematics toggle navigation
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