| 000 -LEADER |
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| fixed length control field |
a |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20191118100614.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
191118b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
AIKTC-KRRC |
| Transcribing agency |
AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| 9 (RLIN) |
10530 |
| Author |
Saxena, Purvaa |
| 245 ## - TITLE STATEMENT |
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| Title |
Pattern Recognition Using Hybrid Meta-Heuristic |
| 250 ## - EDITION STATEMENT |
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| Volume, Issue number |
Vol.6(2), May-Aug |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
New Delhi |
| Name of publisher, distributor, etc. |
STM Journals |
| Year |
2019 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Pagination |
100-108p. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
In this paper, two optimization algorithms i.e., Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA) are combined to produce a hybrid population-based algorithm PSOGSA. The approach of HPSOGSA is to use the assessment of PSO using the social thinking capability and the manipulation of GSA using the local search proficiency. To increase the performance of HPSOGSA, some benchmark functions are used. Two standard database ORL and YALE is used to assess the classification performance of the proposed method. Classification accuracy is compared for diverse number of training samples per class. Further lead of proposed method is confirmed by analyzing percentage improvement in classification accuracy. With limited accessibility of training sample, percentage enhancement is very successful for face recognition applications. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| 9 (RLIN) |
4622 |
| Topical term or geographic name entry element |
Computer Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| 9 (RLIN) |
10531 |
| Co-Author |
Mishra, Gargi |
| 773 0# - HOST ITEM ENTRY |
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| Title |
Journal of artificial intelligence research and advances (JoAIRA) |
| Place, publisher, and date of publication |
Noida STM Journals |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| URL |
http://computers.stmjournals.com/index.php?journal=JoAIRA&page=article&op=view&path%5B%5D=2182 |
| Link text |
Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
|
| Koha item type |
Articles Abstract Database |
