NDLI: Review of Meta-Heuristic Optimization based Artificial Neural Networks and its Applications

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Review of Meta-Heuristic Optimization based Artificial Neural Networks and its Applications

Content Provider	Scilit
Author	Devikanniga, D. Vetrivel, K. Badrinath, N.
Copyright Year	2019
Description	Journal: Journal of Physics: Conference Series There are several meta-heuristic optimization algorithms developed on inspiration from nature. Artificial neural network proves to be efficient among other machine learning techniques. The efficiency of classification and prediction is improved by optimizing artificial neural network using the meta-heuristic optimization algorithms. The review of some of these hybrid artificial neural networks that are applied for benchmark datasets and to specific real-time experiments for classification and prediction are discussed. Upcoming sections cover the current trending research topics dealing with optimized artificial neural network concepts and provide some interesting insights for researchers to use in their respective applications domains of interest.
Related Links	https://iopscience.iop.org/article/10.1088/1742-6596/1362/1/012074/pdf
ISSN	17426588
e-ISSN	17426596
DOI	10.1088/1742-6596/1362/1/012074
Journal	Journal of Physics: Conference Series
Issue Number	1
Volume Number	1362
Language	English
Publisher	IOP Publishing
Publisher Date	2019-11-01
Access Restriction	Open
Subject Keyword	Journal: Journal of Physics: Conference Series Cybernetical Science Hardware and Architecture Artificial Neural Network Meta Heuristic Optimization
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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