Neural Networks

1. Front Matter

   Pages I-XX

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2. The Biological Paradigm

   • Raúl Rojas

   Pages 3-27

3. Threshold Logic

   • Raúl Rojas

   Pages 29-53

4. Weighted Networks—The Perceptron

   • Raúl Rojas

   Pages 55-76

5. Perceptron Learning

   • Raúl Rojas

   Pages 77-98

6. Unsupervised Learning and Clustering Algorithms

   • Raúl Rojas

   Pages 99-121

7. One and Two Layered Networks

   • Raúl Rojas

   Pages 123-148

8. The Backpropagation Algorithm

   • Raúl Rojas

   Pages 149-182

9. Fast Learning Algorithms

   • Raúl Rojas

   Pages 183-225

10. Statistics and Neural Networks

    • Raúl Rojas

    Pages 227-261

11. The Complexity of Learning

    • Raúl Rojas

    Pages 263-285

12. Fuzzy Logic

    • Raúl Rojas

    Pages 287-308

13. Associative Networks

    • Raúl Rojas

    Pages 309-334

14. The Hopfield Model

    • Raúl Rojas

    Pages 335-369

15. Stochastic Networks

    • Raúl Rojas

    Pages 371-387

16. Kohonen Networks

    • Raúl Rojas

    Pages 389-410

17. Modular Neural Networks

    • Raúl Rojas

    Pages 411-425

18. Genetic Algorithms

    • Raúl Rojas

    Pages 427-448

19. Hardware for Neural Networks

    • Raúl Rojas

    Pages 449-476

20. Back Matter

    Pages 477-502

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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.

• Spline
• artificial intelligence
• fuzzy logic
• fuzzy set
• fuzzy system
• model
• statistics
• topology

"If you want a systematic and thorough overview of neural networks, need a good reference book on this subject, or are giving or taking a course on neural networks, this book is for you." Computing Reviews

• Department of Mathematics and Computer Science, University of Halle, Halle, Germany

  Raúl Rojas

• Department of Mathematics and Computer Science, Free University of Berlin, Berlin, Germany

  Raúl Rojas

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