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

Autor:	K. Vetrivel, N. Badrinath, D. Devikanniga
Rok vydání:	2019
Předmět:	History Artificial neural network Optimization algorithm Cover (telecommunications) Computer science business.industry Machine learning computer.software_genre Computer Science Applications Education Benchmark (computing) Meta heuristic Artificial intelligence business computer
Zdroj:	Journal of Physics: Conference Series. 1362:012074
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1362/1/012074
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3b95c13295af69e2e53c96eca03a59a6 https://doi.org/10.1088/1742-6596/1362/1/012074 Zobrazit plný text záznamu