Comprehensive analysis of extreme learning machine and continuous genetic algorithm for robust classification of epilepsy from EEG signals / / Harikumar Rajaguru, Sunil Kumar Prabhakar.
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Place / Publishing House: | Hamburg, [Germany] : : Anchor Academic Publishing,, 2017. 2017 |
Year of Publication: | 2017 |
Language: | German |
Online Access: | |
Physical Description: | 1 online resource (33 pages) :; illustrations, tables |
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001 | 5005150393 | ||
003 | MiAaPQ | ||
005 | 20200520144314.0 | ||
006 | m o d | | ||
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008 | 171215t20172017gw a ob 000 0 ger d | ||
020 | |z 9783960670995 | ||
020 | |a 9783960675990 (e-book) | ||
035 | |a (MiAaPQ)5005150393 | ||
035 | |a (Au-PeEL)EBL5150393 | ||
035 | |a (CaPaEBR)ebr11467954 | ||
035 | |a (OCoLC)1012883134 | ||
040 | |a MiAaPQ |b eng |e rda |e pn |c MiAaPQ |d MiAaPQ | ||
050 | 4 | |a QA278 |b .R353 2017 | |
082 | 0 | |a 519.53 |2 23 | |
100 | 1 | |a Rajaguru, Harikumar, |e author. | |
245 | 1 | 0 | |a Comprehensive analysis of extreme learning machine and continuous genetic algorithm for robust classification of epilepsy from EEG signals / |c Harikumar Rajaguru, Sunil Kumar Prabhakar. |
264 | 1 | |a Hamburg, [Germany] : |b Anchor Academic Publishing, |c 2017. | |
264 | 4 | |c 2017 | |
300 | |a 1 online resource (33 pages) : |b illustrations, tables | ||
336 | |a text |2 rdacontent | ||
337 | |a computer |2 rdamedia | ||
338 | |a online resource |2 rdacarrier | ||
504 | |a Includes bibliographical references. | ||
588 | |a Description based on online resource; title from PDF title page (500, viewed December 15, 2017). | ||
590 | |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
650 | 0 | |a Cluster analysis. | |
655 | 4 | |a Electronic books. | |
700 | 1 | |a Prabhakar, Sunil Kumar, |e author. | |
776 | 0 | 8 | |i Print version: |a Rajaguru, Harikumar. |t Comprehensive analysis of extreme learning machine and continuous genetic algorithm for robust classification of epilepsy from EEG signals. |d Hamburg, [Germany] : Anchor Academic Publishing, c2017 |h 32 pages |z 9783960670995 |
797 | 2 | |a ProQuest (Firm) | |
856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5150393 |z Click to View |