World Journal of Engineering Research and Technology (WJERT) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , Indian Science Publications , SOCOLAR, China , International Institute of Organized Research (I2OR) , Cosmos Impact Factor , Research Bible, Fuchu, Tokyo. JAPAN , Scientific Indexing Services (SIS) , Jour Informatics (Under Process) , UDLedge Science Citation Index , International Impact Factor Services , International Scientific Indexing, UAE , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Scientific Journal Impact Factor (SJIF) , Science Library Index, Dubai, United Arab Emirates , Eurasian Scientific Journal Index (ESJI) , Global Impact Factor (0.342) , IFSIJ Measure of Journal Quality , Web of Science Group (Under Process) , Directory of Research Journals Indexing , Scholar Article Journal Index (SAJI) , International Scientific Indexing ( ISI ) , Scope Database , Academia , 

World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

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  • Article Invited for Publication

    Article are invited for publication in WJERT Coming Issue

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    WJERT Rank with Index Copernicus Value 79.45 due to high reputation at International Level

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Indexing

Abstract

ARTIFICIAL NEURAL NETWORKS

Raj Chauhan*

ABSTRACT

The artificial neural network (ANN), or simply neural network, is a data processing system consisting of a large number of simple, highly interconnected processing elements evolved from the idea of simulating the human brain. Neural networks are often capable of doing things which humans do well but which conventional computers find difficult to emulate. Neural networks have emerged in the past few years as an area for research, development and application to a variety of real world problems. Neural networks exhibit characteristics and capabilities not provided by any other technology. Examples include natural language processing, humanlike handwriting, reading typewritten text, face recognition, medical imaging, weather and load forecasting, modeling complex systems that cannot be modelled mathematically and many more.

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