Nonlinear biomedical signal processing, Volume 1, Fuzzy logic, neural networks, and new algorithms:
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 comprehens...
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
New York
IEEE Press
c2000
|
| Schriftenreihe: | IEEE Press series on biomedical engineering
5 |
| Schlagworte: | |
| Online-Zugang: | FHI01 FHN01 Volltext |
| Zusammenfassung: | 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 students 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 |
| Beschreibung: | "IEEE Engineering in medicine and biology society, sponsor." Description based on PDF viewed 12/21/2015 |
| Beschreibung: | 1 Online-Resource (276 pages) illustrations (some color) |
| ISBN: | 9780470545362 |
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| 520 | |a 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 students 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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| id | DE-604.BV046418193 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:44:04Z |
| institution | BVB |
| isbn | 9780470545362 |
| language | English |
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| spelling | Nonlinear biomedical signal processing, Volume 1, Fuzzy logic, neural networks, and new algorithms edited by Metin Akay Fuzzy logic, neural networks, and new algorithms New York IEEE Press c2000 1 Online-Resource (276 pages) illustrations (some color) txt rdacontent c rdamedia cr rdacarrier IEEE Press series on biomedical engineering 5 "IEEE Engineering in medicine and biology society, sponsor." Description based on PDF viewed 12/21/2015 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 students 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 Signal processing Biomedical engineering Fuzzy logic Neural networks (Computer science) Akay, Metin Sonstige oth Erscheint auch als Druck-Ausgabe 9780780360112 https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5263178 Aggregator URL des Erstveröffentlichers Volltext |
| spellingShingle | Nonlinear biomedical signal processing, Volume 1, Fuzzy logic, neural networks, and new algorithms Signal processing Biomedical engineering Fuzzy logic Neural networks (Computer science) |
| title | Nonlinear biomedical signal processing, Volume 1, Fuzzy logic, neural networks, and new algorithms |
| title_alt | Fuzzy logic, neural networks, and new algorithms |
| title_auth | Nonlinear biomedical signal processing, Volume 1, Fuzzy logic, neural networks, and new algorithms |
| title_exact_search | Nonlinear biomedical signal processing, Volume 1, Fuzzy logic, neural networks, and new algorithms |
| title_full | Nonlinear biomedical signal processing, Volume 1, Fuzzy logic, neural networks, and new algorithms edited by Metin Akay |
| title_fullStr | Nonlinear biomedical signal processing, Volume 1, Fuzzy logic, neural networks, and new algorithms edited by Metin Akay |
| title_full_unstemmed | Nonlinear biomedical signal processing, Volume 1, Fuzzy logic, neural networks, and new algorithms edited by Metin Akay |
| title_short | Nonlinear biomedical signal processing, Volume 1, Fuzzy logic, neural networks, and new algorithms |
| title_sort | nonlinear biomedical signal processing volume 1 fuzzy logic neural networks and new algorithms |
| topic | Signal processing Biomedical engineering Fuzzy logic Neural networks (Computer science) |
| topic_facet | Signal processing Biomedical engineering Fuzzy logic Neural networks (Computer science) |
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