Search Results

Fundamentals of Artificial Neural Networks

Download or Read eBook Fundamentals of Artificial Neural Networks PDF written by Mohamad H. Hassoun and published by MIT Press. This book was released on 1995 with total page 546 pages. Available in PDF, EPUB and Kindle.
Fundamentals of Artificial Neural Networks
Author :
Publisher : MIT Press
Total Pages : 546
Release :
ISBN-10 : 026208239X
ISBN-13 : 9780262082396
Rating : 4/5 (9X Downloads)

Book Synopsis Fundamentals of Artificial Neural Networks by : Mohamad H. Hassoun

Book excerpt: A systematic account of artificial neural network paradigms that identifies fundamental concepts and major methodologies. Important results are integrated into the text in order to explain a wide range of existing empirical observations and commonly used heuristics.


Fundamentals of Artificial Neural Networks Related Books

Fundamentals of Artificial Neural Networks
Language: en
Pages: 546
Authors: Mohamad H. Hassoun
Categories: Computers
Type: BOOK - Published: 1995 - Publisher: MIT Press

DOWNLOAD EBOOK

A systematic account of artificial neural network paradigms that identifies fundamental concepts and major methodologies. Important results are integrated into
Artificial Neural Networks
Language: en
Pages: 309
Authors: Ivan Nunes da Silva
Categories: Technology & Engineering
Type: BOOK - Published: 2016-08-24 - Publisher: Springer

DOWNLOAD EBOOK

This book provides comprehensive coverage of neural networks, their evolution, their structure, the problems they can solve, and their applications. The first h
Elements of Artificial Neural Networks
Language: en
Pages: 376
Authors: Kishan Mehrotra
Categories: Computers
Type: BOOK - Published: 1997 - Publisher: MIT Press

DOWNLOAD EBOOK

Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who w
ARTIFICIAL NEURAL NETWORKS
Language: en
Pages: 480
Authors: B. YEGNANARAYANA
Categories: Computers
Type: BOOK - Published: 2009-01-14 - Publisher: PHI Learning Pvt. Ltd.

DOWNLOAD EBOOK

Designed as an introductory level textbook on Artificial Neural Networks at the postgraduate and senior undergraduate levels in any branch of engineering, this
Multivariate Statistical Machine Learning Methods for Genomic Prediction
Language: en
Pages: 707
Authors: Osval Antonio Montesinos López
Categories: Technology & Engineering
Type: BOOK - Published: 2022-02-14 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statis
Scroll to top