| 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 |
20191118095706.0 |
| 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 |
|---|
| 9 (RLIN) |
10528 |
| Author |
Khullar, Vikas |
| 245 ## - TITLE STATEMENT |
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| Title |
Performance Evaluation of Autism Diagnosis Tool at Diverse Learning Rates |
| 250 ## - EDITION STATEMENT |
|---|
| 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 |
92-99p. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Artificial Neural Networks (ANN) has been considered as a major artifact in the scenario of Machine Learning, which needs optimization for more accurate and efficient results. The main aim of this paper is to identify the optimization techniques and their learning rates for ANN with better results. In this paper, we have been utilized “Keras” library for framing ANN with different optimization techniques. The evaluation of the optimization techniques has conducted on the basis of accuracy and loss as parameters. On the basis of our comparative study, we have proposed the best ANN optimization technique out of our evaluated techniques for the diagnosis of available Autism Spectrum Disorder (ASD) dataset. |
| 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) |
10529 |
| Co-Author |
Bala, Manju |
| 773 0# - HOST ITEM ENTRY |
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| Place, publisher, and date of publication |
Noida STM Journals |
| Title |
Journal of artificial intelligence research and advances (JoAIRA) |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| URL |
http://computers.stmjournals.com/index.php?journal=JoAIRA&page=article&op=view&path%5B%5D=2091 |
| Link text |
Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Articles Abstract Database |
