大葉大學圖書館 |

Applied artificial higher order neural networks for control and recognition[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	629.8/95632
書名/作者:	Applied artificial higher order neural networks for control and recognition/ Ming Zhang, editor.
其他作者:	Zhang, Ming,
面頁冊數:	PDFs (511 pages) : : illustrations.
標題:	Automatic control - Data processing.
標題:	Pattern recognition systems - Data processing.
標題:	Neural networks (Computer science)
ISBN:	9781522500643
書目註:	Includes bibliographical references and index.
內容註:	Ultra high frequency polynomial and trigonometric higher order neural networks for control signal generator / Ming Zhang -- HONU and supervised learning algorithms in adaptive feedback control / Peter Mark Benes -- Novelty detection in system monitoring and control with HONU / Cyril Oswald -- Ultra high frequency sigmoid and trigonometric higher order neural networks for data pattern recognition / Ming Zhang -- Ultra high frequency SINC and trigonometric higher order neural networks for data classification / Ming Zhang -- Integration of higher-order time-frequency statistics and neural networks: application for power quality surveillance / Jose Carlos Palomares-Salas [and 5 others] -- Adaptive hybrid higher order neural networks for prediction of stock market behavior / Sarat Chandra Nayak, Bijan Bihari Misra, Himansu Sekhar Behera -- Theoretical analyses of the universal approximation capability of a class of higher order neural networks based on approximate identity / Saeed Panahian, Zarita Zainuddin -- Artificial sine and cosine trigonometric higher order neural networks for financial data prediction / Ming Zhang -- Cosine and sigmoid higher order neural networks for data simulations / Ming Zhang -- Improving performance of higher order neural network using artificial chemical reaction optimization: a case study on stock market forecasting / Sarat Chandra Nayak, Bijan Bihari Misra, Himansu Sekhar Behera --
摘要、提要註:	"This book explores the ways in which higher order neural networks are being integrated specifically for intelligent technology applications, emphasizing emerging research, practice, and real-world implementation"--Provided by publisher.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-0063-6

Applied artificial higher order neural networks for control and recognition[electronic resource] /
Applied artificial higher order neural networks for control and recognition[electronic resource] /Ming Zhang, editor. - PDFs (511 pages) :illustrations.

Includes bibliographical references and index.

Ultra high frequency polynomial and trigonometric higher order neural networks for control signal generator / Ming Zhang -- HONU and supervised learning algorithms in adaptive feedback control / Peter Mark Benes -- Novelty detection in system monitoring and control with HONU / Cyril Oswald -- Ultra high frequency sigmoid and trigonometric higher order neural networks for data pattern recognition / Ming Zhang -- Ultra high frequency SINC and trigonometric higher order neural networks for data classification / Ming Zhang -- Integration of higher-order time-frequency statistics and neural networks: application for power quality surveillance / Jose Carlos Palomares-Salas [and 5 others] -- Adaptive hybrid higher order neural networks for prediction of stock market behavior / Sarat Chandra Nayak, Bijan Bihari Misra, Himansu Sekhar Behera -- Theoretical analyses of the universal approximation capability of a class of higher order neural networks based on approximate identity / Saeed Panahian, Zarita Zainuddin -- Artificial sine and cosine trigonometric higher order neural networks for financial data prediction / Ming Zhang -- Cosine and sigmoid higher order neural networks for data simulations / Ming Zhang -- Improving performance of higher order neural network using artificial chemical reaction optimization: a case study on stock market forecasting / Sarat Chandra Nayak, Bijan Bihari Misra, Himansu Sekhar Behera --

Restricted to subscribers or individual electronic text purchasers.

"This book explores the ways in which higher order neural networks are being integrated specifically for intelligent technology applications, emphasizing emerging research, practice, and real-world implementation"--Provided by publisher.

Mode of access: World Wide Web.

ISBN: 9781522500643

Standard No.: 10.4018/978-1-5225-0063-6doiSubjects--Topical Terms:

558654
Automatic control
--Data processing.

LC Class. No.: TJ223.M53 / A665 2016e

Dewey Class. No.: 629.8/95632

Applied artificial higher order neural networks for control and recognition[electronic resource] /
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245 0 0 $a Applied artificial higher order neural networks for control and recognition $h [electronic resource] / $c Ming Zhang, editor.
264 $a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) : $b IGI Global, $c [2016]
300 $a PDFs (511 pages) : $b illustrations.
504 $a Includes bibliographical references and index.
505 0 $a Ultra high frequency polynomial and trigonometric higher order neural networks for control signal generator / Ming Zhang -- HONU and supervised learning algorithms in adaptive feedback control / Peter Mark Benes -- Novelty detection in system monitoring and control with HONU / Cyril Oswald -- Ultra high frequency sigmoid and trigonometric higher order neural networks for data pattern recognition / Ming Zhang -- Ultra high frequency SINC and trigonometric higher order neural networks for data classification / Ming Zhang -- Integration of higher-order time-frequency statistics and neural networks: application for power quality surveillance / Jose Carlos Palomares-Salas [and 5 others] -- Adaptive hybrid higher order neural networks for prediction of stock market behavior / Sarat Chandra Nayak, Bijan Bihari Misra, Himansu Sekhar Behera -- Theoretical analyses of the universal approximation capability of a class of higher order neural networks based on approximate identity / Saeed Panahian, Zarita Zainuddin -- Artificial sine and cosine trigonometric higher order neural networks for financial data prediction / Ming Zhang -- Cosine and sigmoid higher order neural networks for data simulations / Ming Zhang -- Improving performance of higher order neural network using artificial chemical reaction optimization: a case study on stock market forecasting / Sarat Chandra Nayak, Bijan Bihari Misra, Himansu Sekhar Behera --
505 8 $a Artificial higher order neural network models / Ming Zhang -- A theoretical framework for parallel implementation of deep higher order neural networks / Shuxiang Xu, Yunling Liu -- Ant colony optimization applied to the training of a high order neural network with adaptable exponential weights / Ashraf M. Abdelbar -- Utilizing feature selection on higher order neural networks / Zongyuan Zhao [and 5 others] -- Some properties on the capability of associative memory for higher order neural networks / Hiromi Miyajima -- Discrete-time decentralized inverse optimal higher order neural network control for a multi-agent omnidirectional mobile robot / Michel Lopez-Franco -- Higher order neural network for financial modeling and simulation / Partha Sarathi Mishra, Satchidananda Dehuri.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book explores the ways in which higher order neural networks are being integrated specifically for intelligent technology applications, emphasizing emerging research, practice, and real-world implementation"--Provided by publisher.
530 $a Also available in print.
538 $a Mode of access: World Wide Web.
588 $a Description based on title screen (IGI Global, viewed 05/20/2016).
650 0 $a Automatic control $x Data processing. $3 558654
650 0 $a Pattern recognition systems $x Data processing. $3 650895
650 0 $a Neural networks (Computer science) $3 386157
700 1 $a Zhang, Ming, $d 1949 July 29- $3 549167
710 2 $a IGI Global, $e publisher. $3 608005
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776 0 8 $i Print version: $z 1522500634 $z 9781522500636 $w (DLC) 2015051300
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-0063-6