Neural Network Design

by Martin T. Hagan, Howard B. Demuth, Howard B Demuth

The well-known, respected authors who developed the Neural Networks toolbox and the Fuzzy Systems Toolbox now bring you this text designed for electrical and computer engineering or computer science beginners. The book covers neuron model and network architectures, signal and weight vector spaces, linear transformations for neural networks. and performance surfaces and optimum points.

Genres: Computer Science, Artificial Intelligence

736 pages, Hardcover

First published December 29, 1995

Reviews

[Ali Frz · Rating 4 out of 5]

کتابی بسیار حرفه ای، با نگارشی پیچیده و غامض

[Karan · Rating 5 out of 5]

Really clear. Best for a beginner. Very detailed.

[Arun]

Freely available here from the author's page - https://hagan.okstate.edu/NNDesign.pdf

[Darin]

This book provides a good introduction to neural networks and is well-written. There is a lot of math in it, but the authors have made the book about as readable as one could expect without simplifying things too much.

[Niran Pravithana · Rating 5 out of 5]

The simpliest yet powerful explanation of ANN available in the market. However advance level of algebra is still required.