Blind Equalization in Neural Networks : : Theory, Algorithms and Applications / / Liyi Zhang.
The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms in recurrent networks, fuzzy networks and other frequently-studied neural networks. Each algorithm is accompanied by derivation, modeling and simulation, making the...
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| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2017] ©2018 |
| Year of Publication: | 2017 |
| Language: | English |
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| Physical Description: | 1 online resource (XII, 256 p.) |
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Zhang, Liyi, author. aut http://id.loc.gov/vocabulary/relators/aut Blind Equalization in Neural Networks : Theory, Algorithms and Applications / Liyi Zhang. Berlin ; Boston : De Gruyter, [2017] ©2018 1 online resource (XII, 256 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Frontmatter -- Preface -- Contents -- 1. Introduction -- 2. The Fundamental Theory of Neural Network Blind Equalization Algorithm -- 3. Research of Blind Equalization Algorithms Based on FFNN -- 4. Research of Blind Equalization Algorithms Based on the FBNN -- 5. Research of Blind Equalization Algorithms Based on FNN -- 6. Blind Equalization Algorithm Based on Evolutionary Neural Network -- 7. Blind equalization Algorithm Based on Wavelet Neural Network -- 8. Application of Neural Network Blind Equalization Algorithm in Medical Image Processing -- Appendix A: Derivation of the Hidden Layer Weight Iterative Formula in the Blind Equalization Algorithm Based on the Complex Three-Layer FFNN -- Appendix B: Iterative Formulas Derivation of Complex Blind Equalization Algorithm Based on BRNN -- Appendix C: Types of Fuzzy Membership Function -- Appendix D: Iterative Formula Derivation of Blind Equalization Algorithm Based on DRFNN -- References -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms in recurrent networks, fuzzy networks and other frequently-studied neural networks. Each algorithm is accompanied by derivation, modeling and simulation, making the book an essential reference for electrical engineers, computer intelligence researchers and neural scientists. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) Neural networks (Computer science). Neural networks (Neurobiology). COMPUTERS / Neural Networks. bisacsh Tsinghua University Press,. Title is part of eBook package: De Gruyter DG Plus eBook-Package 2018 9783110719550 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2017 9783110540550 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE ENGLISH 2017 9783110625264 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2017 9783110547757 ZDB-23-DEI EPUB 9783110449679 print 9783110449624 https://doi.org/10.1515/9783110450293 https://www.degruyter.com/isbn/9783110450293 Cover https://www.degruyter.com/cover/covers/9783110450293.jpg |
| language |
English |
| format |
eBook |
| author |
Zhang, Liyi, Zhang, Liyi, |
| spellingShingle |
Zhang, Liyi, Zhang, Liyi, Blind Equalization in Neural Networks : Theory, Algorithms and Applications / Frontmatter -- Preface -- Contents -- 1. Introduction -- 2. The Fundamental Theory of Neural Network Blind Equalization Algorithm -- 3. Research of Blind Equalization Algorithms Based on FFNN -- 4. Research of Blind Equalization Algorithms Based on the FBNN -- 5. Research of Blind Equalization Algorithms Based on FNN -- 6. Blind Equalization Algorithm Based on Evolutionary Neural Network -- 7. Blind equalization Algorithm Based on Wavelet Neural Network -- 8. Application of Neural Network Blind Equalization Algorithm in Medical Image Processing -- Appendix A: Derivation of the Hidden Layer Weight Iterative Formula in the Blind Equalization Algorithm Based on the Complex Three-Layer FFNN -- Appendix B: Iterative Formulas Derivation of Complex Blind Equalization Algorithm Based on BRNN -- Appendix C: Types of Fuzzy Membership Function -- Appendix D: Iterative Formula Derivation of Blind Equalization Algorithm Based on DRFNN -- References -- Index |
| author_facet |
Zhang, Liyi, Zhang, Liyi, Tsinghua University Press,. |
| author_variant |
l z lz l z lz |
| author_role |
VerfasserIn VerfasserIn |
| author2 |
Tsinghua University Press,. |
| author2_variant |
u p t up upt |
| author2_role |
TeilnehmendeR |
| author_sort |
Zhang, Liyi, |
| title |
Blind Equalization in Neural Networks : Theory, Algorithms and Applications / |
| title_sub |
Theory, Algorithms and Applications / |
| title_full |
Blind Equalization in Neural Networks : Theory, Algorithms and Applications / Liyi Zhang. |
| title_fullStr |
Blind Equalization in Neural Networks : Theory, Algorithms and Applications / Liyi Zhang. |
| title_full_unstemmed |
Blind Equalization in Neural Networks : Theory, Algorithms and Applications / Liyi Zhang. |
| title_auth |
Blind Equalization in Neural Networks : Theory, Algorithms and Applications / |
| title_alt |
Frontmatter -- Preface -- Contents -- 1. Introduction -- 2. The Fundamental Theory of Neural Network Blind Equalization Algorithm -- 3. Research of Blind Equalization Algorithms Based on FFNN -- 4. Research of Blind Equalization Algorithms Based on the FBNN -- 5. Research of Blind Equalization Algorithms Based on FNN -- 6. Blind Equalization Algorithm Based on Evolutionary Neural Network -- 7. Blind equalization Algorithm Based on Wavelet Neural Network -- 8. Application of Neural Network Blind Equalization Algorithm in Medical Image Processing -- Appendix A: Derivation of the Hidden Layer Weight Iterative Formula in the Blind Equalization Algorithm Based on the Complex Three-Layer FFNN -- Appendix B: Iterative Formulas Derivation of Complex Blind Equalization Algorithm Based on BRNN -- Appendix C: Types of Fuzzy Membership Function -- Appendix D: Iterative Formula Derivation of Blind Equalization Algorithm Based on DRFNN -- References -- Index |
| title_new |
Blind Equalization in Neural Networks : |
| title_sort |
blind equalization in neural networks : theory, algorithms and applications / |
| publisher |
De Gruyter, |
| publishDate |
2017 |
| physical |
1 online resource (XII, 256 p.) |
| contents |
Frontmatter -- Preface -- Contents -- 1. Introduction -- 2. The Fundamental Theory of Neural Network Blind Equalization Algorithm -- 3. Research of Blind Equalization Algorithms Based on FFNN -- 4. Research of Blind Equalization Algorithms Based on the FBNN -- 5. Research of Blind Equalization Algorithms Based on FNN -- 6. Blind Equalization Algorithm Based on Evolutionary Neural Network -- 7. Blind equalization Algorithm Based on Wavelet Neural Network -- 8. Application of Neural Network Blind Equalization Algorithm in Medical Image Processing -- Appendix A: Derivation of the Hidden Layer Weight Iterative Formula in the Blind Equalization Algorithm Based on the Complex Three-Layer FFNN -- Appendix B: Iterative Formulas Derivation of Complex Blind Equalization Algorithm Based on BRNN -- Appendix C: Types of Fuzzy Membership Function -- Appendix D: Iterative Formula Derivation of Blind Equalization Algorithm Based on DRFNN -- References -- Index |
| isbn |
9783110450293 9783110719550 9783110540550 9783110625264 9783110547757 9783110449679 9783110449624 |
| callnumber-first |
Q - Science |
| callnumber-subject |
QA - Mathematics |
| callnumber-label |
QA76 |
| callnumber-sort |
QA 276.87 Z436 42018 |
| url |
https://doi.org/10.1515/9783110450293 https://www.degruyter.com/isbn/9783110450293 https://www.degruyter.com/cover/covers/9783110450293.jpg |
| illustrated |
Not Illustrated |
| dewey-hundreds |
000 - Computer science, information & general works |
| dewey-tens |
000 - Computer science, knowledge & systems |
| dewey-ones |
006 - Special computer methods |
| dewey-full |
006.32 |
| dewey-sort |
16.32 |
| dewey-raw |
006.32 |
| dewey-search |
006.32 |
| doi_str_mv |
10.1515/9783110450293 |
| oclc_num |
1020032690 |
| work_keys_str_mv |
AT zhangliyi blindequalizationinneuralnetworkstheoryalgorithmsandapplications AT tsinghuauniversitypress blindequalizationinneuralnetworkstheoryalgorithmsandapplications |
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n |
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(DE-B1597)458186 (OCoLC)1020032690 |
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cr |
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Title is part of eBook package: De Gruyter DG Plus eBook-Package 2018 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2017 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE ENGLISH 2017 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2017 |
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Blind Equalization in Neural Networks : Theory, Algorithms and Applications / |
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Title is part of eBook package: De Gruyter DG Plus eBook-Package 2018 |
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