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Original Essays | September 4, 2014

Edward E. Baptist: IMG The Two Bodies of The Half Has Never Been Told: Slavery and the Making of American Capitalism



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Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications

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Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications Cover

 

Synopses & Reviews

Publisher Comments:

Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications introduces Higher Order Neural Networks (HONNs) to computer scientists and computer engineers as an open box neural networks tool when compared to traditional artificial neural networks. Since HONNs are open box models, they can be easily used in information science, information technology, management, economics, and business. This book details the techniques, theory and applications essential to engaging and capitalizing on this developing technology.

Book News Annotation:

This collection introduces higher order neural network (HONN) group models and adaptive HONNs for simulating nonlinear data. The computer science chapters describe adaptive tolerance trees for translation-invariant face recognition, symbolic computations, evolutionary algorithms, a neural controller for nonlinear systems, and data mining applications. The computer engineering chapters review 50 years of electronic hardware implementations and investigate the training of networks using back propagation and Levenberg-Marquardt algorithms, neural observers for anaerobic processes, and electrical machine excitation control. Zhang is a computer science professor at Christopher Newport University in Virginia. Annotation ©2010 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

"This book introduces and explains Higher Order Neural Networks (HONNs) to people working in the fields of computer science and computer engineering, and how to use HONNS in these areas"--Provided by publisher.

Table of Contents

18. Identification of nonlinear systems using a new neuro-fuzzy dynamical system definition based on high order neural network function approximators — 19. Neuro - fuzzy control schemes based on high order neural network function approximators — 20. Back-stepping control of quadrotor — 21. Artificial tactile sensing and robotic surgery using higher order neural networks — 22. A theoretical and empirical study of functional link neural networks (FLANNs) for classification.

Product Details

ISBN:
9781615207114
Author:
Zhang, Ming
Publisher:
Information Science Publishing
Edited by:
Ming Zhang
Author:
Ming Zhang
Subject:
Enterprise Applications - Business Intelligence
Subject:
Finance
Subject:
Neural Networks
Subject:
Neural networks (computer science)
Subject:
Computer science - Data processing
Subject:
Networking - General
Subject:
Business-Accounting and Finance
Subject:
main_subject
Subject:
all_subjects
Series:
Premier Reference Source
Publication Date:
20110331
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
634
Dimensions:
11.20x8.50x1.80 in. 4.65 lbs.

Related Subjects

Business » Accounting and Finance
Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » Enterprise Applications » Business Intelligence Tools
Computers and Internet » Computers Reference » General
Computers and Internet » Internet » Information
Computers and Internet » Networking » General
Engineering » Engineering » General Engineering
Science and Mathematics » Mathematics » General

Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications New Hardcover
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$210.75 In Stock
Product details 634 pages IGI Global - English 9781615207114 Reviews:
"Synopsis" by , "This book introduces and explains Higher Order Neural Networks (HONNs) to people working in the fields of computer science and computer engineering, and how to use HONNS in these areas"--Provided by publisher.
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