• Title: Neural Networks - A Systematic Introduction
• Author(s): Raul Rojas
• Publisher: Springer; 1 edition;
• Paperback: 502 pages
• eBook: PDF (509 pages) and PDF Files
• Language: English
• ISBN-10: 3540605053
• ISBN-13: 978-3540605058
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Book Description

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.

• Raul Rojas is a professor of Artificial Intelligence at Deparment of Computer Science and Mathematics at The Free University of Berlin, Germany, and University of Nevada, Reno, USA.

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• Neural Networks
• Deep Learning
• Artificial Intelligence (AI)
• Algorithms and Data Structures

• Neural Networks - A Systematic Introduction (Raul Rojas)
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