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Nonlinear biomedical signal processi...
~
Akay, Metin.
Nonlinear biomedical signal processing.. Volume 1,. Fuzzy logic, neural networks, and new algorithms
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Nonlinear biomedical signal processing./ edited by Metin Akay.
remainder title:
Fuzzy logic, neural networks, and new algorithms
other author:
Akay, Metin.
Published:
New York :IEEE Press, : c2000.,
Description:
1 online resource (276 p.) :ill. (some col.) :
Notes:
"IEEE Engineering in medicine and biology society, sponsor."
Subject:
Signal processing. -
Online resource:
http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5263178
ISBN:
9780470545362
Nonlinear biomedical signal processing.. Volume 1,. Fuzzy logic, neural networks, and new algorithms
Nonlinear biomedical signal processing.
Volume 1,Fuzzy logic, neural networks, and new algorithms[electronic resource] /Fuzzy logic, neural networks, and new algorithmsedited by Metin Akay. - New York :IEEE Press,c2000. - 1 online resource (276 p.) :ill. (some col.) - IEEE Press series on biomedical engineering. - IEEE Press series in biomedical engineering..
"IEEE Engineering in medicine and biology society, sponsor."
Includes bibliographical references and index.
Front Matter -- Uncertainty Management in Medical Applications / Bernadette Bouchon-Meunier -- Applications of Fuzzy Clustering to Biomedical Signal Processing and Dynamic System Identification / Amir B Geva -- Neural Networks: A Guided Tour / Simon Haykin -- Neural Networks in Processing and Analysis of Biomedical Signals / Homayoun Nazeran, Khosrow Behbehani -- Rare Event Detection in Genomic Sequences by Neural Networks and Sample Stratification / Wooyoung Choe, Okan K Ersoy, Minou Bina -- An Axiomatic Approach to Reformulating Radial Basis Neural Networks / Nicolaos B Karayiannis -- Soft Learning Vector Quantization and Clustering Algorithms Based on Reformulation / Nicolaos B Karayiannis -- Metastable Associative Network Models of Neuronal Dynamics Transition During Sleep / Mitsuyuki Nakao, Mitsuaki Yamamoto -- Artificial Neural Networks for Spectroscopic Signal Measurement / Chii-Wann Lin, Tzu-Chien Hsiao, Mang-Ting Zeng, Hui-Hua Kenny Chiang -- Applications of Feed-Forward Neural Networks in the Electrogastrogram / Zhiyue Lin, J D Z Chen -- Index -- About the Editor -- Color Plate --.
Online full text is restricted to subscribers.
Publisher description: Biomedical / Electrical Engineering Nonlinear Biomedical Signal Processing Volume I: Fuzzy Logic, Neural Networks, and New Algorithms A volume in the IEEE Press Series on Biomedical Engineering Metin Akay, Series Editor For the first time, eleven experts in the fields of signal processing and biomedical engineering have contributed to an edition on the newest theories and applications of fuzzy logic, neural networks, and algorithms in biomedicine. Nonlinear Biomedical Signal Processing, Volume I provides comprehensive coverage of nonlinear signal processing techniques. In the last decade, theoretical developments in the concept of fuzzy logic have led to several new approaches to neural networks. This compilation delivers plenty of real-world examples for a variety of implementations and applications of nonlinear signal processing technologies to biomedical problems. Included here are discussions that combine the various structures of Kohenen, Hopfield, and multiple-layer "designer" networks with other approaches to produce hybrid systems. Comparative analysis is made of methods of genetic, back-propagation, Bayesian, and other learning algorithms. Topics covered include: * Uncertainty management * Analysis of biomedical signals * A guided tour of neural networks * Application of algorithms to EEG and heart rate variability signals * Event detection and sample stratification in genomic sequences * Applications of multivariate analysis methods to measure glucose concentration Nonlinear Biomedical Signal Processing, Volume I is a valuable reference tool for medical researchers, medical faculty and advanced graduate student, s as well as for practicing biomedical engineers. Nonlinear Biomedical Signal Processing, Volume I is an excellent companion to Nonlinear Biomedical Signal Processing, Volume II: Dynamic Analysis and Modeling.
ISBN: 9780470545362
Source: 9780470545362IEEEhttp://ieeexplore.ieee.orgSubjects--Topical Terms:
561459
Signal processing.
Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: R857.S47 / N66 2000
Dewey Class. No.: 610/.285/632
National Library of Medicine Call No.: 2000 M-536
Nonlinear biomedical signal processing.. Volume 1,. Fuzzy logic, neural networks, and new algorithms
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Front Matter -- Uncertainty Management in Medical Applications / Bernadette Bouchon-Meunier -- Applications of Fuzzy Clustering to Biomedical Signal Processing and Dynamic System Identification / Amir B Geva -- Neural Networks: A Guided Tour / Simon Haykin -- Neural Networks in Processing and Analysis of Biomedical Signals / Homayoun Nazeran, Khosrow Behbehani -- Rare Event Detection in Genomic Sequences by Neural Networks and Sample Stratification / Wooyoung Choe, Okan K Ersoy, Minou Bina -- An Axiomatic Approach to Reformulating Radial Basis Neural Networks / Nicolaos B Karayiannis -- Soft Learning Vector Quantization and Clustering Algorithms Based on Reformulation / Nicolaos B Karayiannis -- Metastable Associative Network Models of Neuronal Dynamics Transition During Sleep / Mitsuyuki Nakao, Mitsuaki Yamamoto -- Artificial Neural Networks for Spectroscopic Signal Measurement / Chii-Wann Lin, Tzu-Chien Hsiao, Mang-Ting Zeng, Hui-Hua Kenny Chiang -- Applications of Feed-Forward Neural Networks in the Electrogastrogram / Zhiyue Lin, J D Z Chen -- Index -- About the Editor -- Color Plate --.
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Publisher description: Biomedical / Electrical Engineering Nonlinear Biomedical Signal Processing Volume I: Fuzzy Logic, Neural Networks, and New Algorithms A volume in the IEEE Press Series on Biomedical Engineering Metin Akay, Series Editor For the first time, eleven experts in the fields of signal processing and biomedical engineering have contributed to an edition on the newest theories and applications of fuzzy logic, neural networks, and algorithms in biomedicine. Nonlinear Biomedical Signal Processing, Volume I provides comprehensive coverage of nonlinear signal processing techniques. In the last decade, theoretical developments in the concept of fuzzy logic have led to several new approaches to neural networks. This compilation delivers plenty of real-world examples for a variety of implementations and applications of nonlinear signal processing technologies to biomedical problems. Included here are discussions that combine the various structures of Kohenen, Hopfield, and multiple-layer "designer" networks with other approaches to produce hybrid systems. Comparative analysis is made of methods of genetic, back-propagation, Bayesian, and other learning algorithms. Topics covered include: * Uncertainty management * Analysis of biomedical signals * A guided tour of neural networks * Application of algorithms to EEG and heart rate variability signals * Event detection and sample stratification in genomic sequences * Applications of multivariate analysis methods to measure glucose concentration Nonlinear Biomedical Signal Processing, Volume I is a valuable reference tool for medical researchers, medical faculty and advanced graduate student, s as well as for practicing biomedical engineers. Nonlinear Biomedical Signal Processing, Volume I is an excellent companion to Nonlinear Biomedical Signal Processing, Volume II: Dynamic Analysis and Modeling.
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