Neural Networks - A Systematic Introduction

Brings together neural networks theoretical laws and models into a general theory of artificial neural nets. Written for undergraduates and requires mathematical tools learned during the first two years at university.

**Tag(s):**
Artificial Intelligence

**Publication date**: 12 Jul 1996

**ISBN-10**:
3540605053

**ISBN-13**:
n/a

**Paperback**:
502 pages

**Views**: 19,627

Neural Networks - A Systematic Introduction

Brings together neural networks theoretical laws and models into a general theory of artificial neural nets. Written for undergraduates and requires mathematical tools learned during the first two years at university.

Excerpts from the Book Description:

Raul Rojas wrote:Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and models previously scattered in the literature are brought together into a general theory of artificial neural nets. Always with a view to biology and starting with the simplest nets, it is shown how the properties of models change when more general computing elements and net topologies are introduced. Each chapter contains examples, numerous illustrations, and a bibliography. The book is aimed at readers who seek an overview of the field or who wish to deepen their knowledge. It is suitable as a basis for university courses in neurocomputing.

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About The Author(s)

Professor of Artificial Intelligence in the Department of Mathematics and Computer Science at Freie Universität Berlin.

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