Feedforward Neural Network Methodology

Download or Read eBook Feedforward Neural Network Methodology PDF written by Terrence L. Fine and published by Springer Science & Business Media. This book was released on 2006-04-06 with total page 353 pages. Available in PDF, EPUB and Kindle.
Feedforward Neural Network Methodology
Author :
Publisher : Springer Science & Business Media
Total Pages : 353
Release :
ISBN-10 : 9780387226491
ISBN-13 : 0387226494
Rating : 4/5 (91 Downloads)

Book Synopsis Feedforward Neural Network Methodology by : Terrence L. Fine

Book excerpt: This decade has seen an explosive growth in computational speed and memory and a rapid enrichment in our understanding of artificial neural networks. These two factors provide systems engineers and statisticians with the ability to build models of physical, economic, and information-based time series and signals. This book provides a thorough and coherent introduction to the mathematical properties of feedforward neural networks and to the intensive methodology which has enabled their highly successful application to complex problems.


Feedforward Neural Network Methodology Related Books

Feedforward Neural Network Methodology
Language: en
Pages: 353
Authors: Terrence L. Fine
Categories: Computers
Type: BOOK - Published: 2006-04-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This decade has seen an explosive growth in computational speed and memory and a rapid enrichment in our understanding of artificial neural networks. These two
Neural Smithing
Language: en
Pages: 359
Authors: Russell Reed
Categories: Computers
Type: BOOK - Published: 1999-02-17 - Publisher: MIT Press

DOWNLOAD EBOOK

Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. T
Advances in Neural Networks - ISNN 2007
Language: en
Pages: 1346
Authors: Derong Liu
Categories: Computers
Type: BOOK - Published: 2007-07-14 - Publisher: Springer

DOWNLOAD EBOOK

This book is part of a three volume set that constitutes the refereed proceedings of the 4th International Symposium on Neural Networks, ISNN 2007, held in Nanj
Second-Order Methods for Neural Networks
Language: en
Pages: 156
Authors: Adrian J. Shepherd
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

About This Book This book is about training methods - in particular, fast second-order training methods - for multi-layer perceptrons (MLPs). MLPs (also known a
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