Rating

(27) · In stock

Provides a comprehensive foundation of neural networks, recognizing the multidisciplinary nature of the subject, supported with examples, computer-oriented ...

A COMPREHENSIVE FOUNDATION. SIMON HAYKIN. Page 2. Page 3 ...

Introduction; Learning processes; Single layer perceptrons; Multilayer perceptrons; Radial-basis function networks; Support vector machines; ...

Explores the intricacies of the learning processan essential component for understanding neural networks. Considers recurrent networks, such as Hopfield ...

3.9/5 · Goodreads

Introduction; Learning processes; Single layer perceptrons; Multilayer perceptrons; Radial-basis function networks; Support vector machines; Comittee machines; Principal components analysis; Self-organizing ... Google Books

Originally published: 1994

Author: Simon S. Haykin

From the Publisher: This book represents the most comprehensive treatment available of neural networks from an engineering perspective.

Neural networks: a comprehensive foundation by Simon Haykin, Macmillan, 1994, ISBN 0-02-352781-7. Published online by Cambridge University Press.

This book represents the most comprehensive treatment available of neural networks from an engineering perspective. Thorough, well-organized, and completely ...

$78.00

International Journal of Neural Systems covers information processing in natural and artificial neural systems that includes machine learning, ...

Write an up-to-date treatment of neural networks in a comprehensive, thorough, and read- able manner. The new edition has been retitled Neural Networks and ...

People also ask

What are 3 major categories of neural networks?

Are neural networks a part of deep learning?

What are 3 examples of neural network?

What do neural networks do in the brain?

Rating

(204)

Provides a comprehensive foundation of neural networks, recognizing the multidisciplinary nature of the subject, supported with examples, computer-oriented ...

People also search for