An Introduction to Neural Networks

ISBN-13: 9781857286731 / Angielski / Twarda / 1997 / 248 str.

K. Gurney

Opis

This key user-friendly feature notwithstanding, the book provides a full level of explanation of the technical aspects of the subject, which non-mathematical rivals usually fail to provide, thereby leaving those areas obscure. Although the study of neural networks is underpinned by ideas that are often best described mathematically, the fundamentals of the subject are accessible without the full mathematical apparatus, as this treatment amply demonstrates.

The primary aim of this undergraduate/beginning professional textbook is to understand the basic principles of neural networks, but it also includes several real-world examples to provide a more concrete focus. Although the study of neural networks is underpinned by ideas often best described mathematically, the fundamentals of the subject are accessible without the full mathematical apparatus, as this treatment amply demonstrate.
Key Features:
* Provides a primer in the major principles and issues of neural networks
* Includes extensive exercises and examples
* An excellent introduction for the professional who needs to get more `clued-up' on neural networks
* Minimal previous mathematical knowledge required

Spis treści

Neural Net - A Preliminary Discussion. The von Neumann Machine and The Symbolic Paradigm. Real Neurons - A Review. Artificial neurons. Non- binary signal communication. Introducing Time. Network Features. Alternative Node Types. Cubic Nodes and Reward. Penalty Training. Drawing Things Together - Some Perspectives.