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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| Superior document: | Title is part of eBook package: De Gruyter DG Plus eBook-Package 2018 |
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| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2017] ©2018 |
| Year of Publication: | 2017 |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (XII, 256 p.) |
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| 100 | 1 | |a Zhang, Liyi, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Blind Equalization in Neural Networks : |b Theory, Algorithms and Applications / |c Liyi Zhang. |
| 264 | 1 | |a Berlin ; |a Boston : |b De Gruyter, |c [2017] | |
| 264 | 4 | |c ©2018 | |
| 300 | |a 1 online resource (XII, 256 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 505 | 0 | 0 | |t Frontmatter -- |t Preface -- |t Contents -- |t 1. Introduction -- |t 2. The Fundamental Theory of Neural Network Blind Equalization Algorithm -- |t 3. Research of Blind Equalization Algorithms Based on FFNN -- |t 4. Research of Blind Equalization Algorithms Based on the FBNN -- |t 5. Research of Blind Equalization Algorithms Based on FNN -- |t 6. Blind Equalization Algorithm Based on Evolutionary Neural Network -- |t 7. Blind equalization Algorithm Based on Wavelet Neural Network -- |t 8. Application of Neural Network Blind Equalization Algorithm in Medical Image Processing -- |t Appendix A: Derivation of the Hidden Layer Weight Iterative Formula in the Blind Equalization Algorithm Based on the Complex Three-Layer FFNN -- |t Appendix B: Iterative Formulas Derivation of Complex Blind Equalization Algorithm Based on BRNN -- |t Appendix C: Types of Fuzzy Membership Function -- |t Appendix D: Iterative Formula Derivation of Blind Equalization Algorithm Based on DRFNN -- |t References -- |t Index |
| 506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
| 520 | |a 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. | ||
| 538 | |a Mode of access: Internet via World Wide Web. | ||
| 546 | |a In English. | ||
| 588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) | |
| 650 | 0 | |a Neural networks (Computer science). | |
| 650 | 0 | |a Neural networks (Neurobiology). | |
| 650 | 7 | |a COMPUTERS / Neural Networks. |2 bisacsh | |
| 700 | 1 | |a Tsinghua University Press,. | |
| 773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t DG Plus eBook-Package 2018 |z 9783110719550 |
| 773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE COMPLETE 2017 |z 9783110540550 |o ZDB-23-DGG |
| 773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE COMPLETE ENGLISH 2017 |z 9783110625264 |
| 773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE Engineering, Computer Sciences 2017 |z 9783110547757 |o ZDB-23-DEI |
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| 776 | 0 | |c print |z 9783110449624 | |
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| 856 | 4 | 0 | |u https://www.degruyter.com/isbn/9783110450293 |
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