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Reseach Article

Neural Network Vs Human Brains

Published on May 2012 by Vidhi Sharma
National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing 2011
Foundation of Computer Science USA
RTMC - Number 12
May 2012
Authors: Vidhi Sharma

Vidhi Sharma . Neural Network Vs Human Brains. National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing 2011. RTMC, 12 (May 2012), 31-35.

author = { Vidhi Sharma },
title = { Neural Network Vs Human Brains },
journal = { National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing 2011 },
issue_date = { May 2012 },
volume = { RTMC },
number = { 12 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 31-35 },
numpages = 5,
url = { /proceedings/rtmc/number12/6712-1110/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Proceeding Article
%1 National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing 2011
%A Vidhi Sharma
%T Neural Network Vs Human Brains
%J National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing 2011
%@ 0975-8887
%N 12
%P 31-35
%D 2012
%I International Journal of Computer Applications

An artificial neural network is an information processing paradigm that is inspired by the way biological nervous system, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of large number of highly interconnected processing elements "neurons" working in unison to solve specific problems. ANN, like people, learns by example. An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning process. Learning in biological system involves adjustments to the synaptic connections that exist between the neurons. This is true of ANN as well

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Index Terms

Computer Science
Information Sciences


Neurons Dendrites Axon Synapse Cerebral Cortex Glial Cells Soma (cell Body) Hetro Correlation Auto Correlation Partial Patterns.