IJBTT

Artificial Neural Network based Diagnosis System

	International Journal of Computer Trends and Technology (IJCTT)
	© 2017 by IJCTT Journal
	Volume-48 Number-4
	Year of Publication : 2017
	Authors : Arti Rana, Arvind Singh Rawat, Himanshu Bahuguna, Anchit Bijalwan
	DOI :  10.14445/22312803/IJCTT-V48P134

Arti Rana, Arvind Singh Rawat, Himanshu Bahuguna, Anchit Bijalwan "Artificial Neural Network based Diagnosis System". International Journal of Computer Trends and Technology (IJCTT) V48(4):189-191, June 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
An Artificial Neural Network (ANN) is sequence processing concept that is stimulated by the way genetic nervous systems, i.e., brain, progression information. The key element of this concept is the novel formation of the information processing system. It consists of a huge amount of highly interrelated processing elements (neurons) working in unity to resolve particular problems. ANNs, like individuals, learn by example. An ANN is configured for a particular purpose, such as data classification or pattern recognition, via learning process. Learning in genetic systems engrosses modification to the synaptic connections that exist in between the neurons. This is factual of ANNs as well. ANN is a branch of Artificial intelligence in computer science. Neural Networks are presently a popular research field in medical, specifically in the areas of cardiology, urology, radiology, oncology and etc. In this paper, an effort has been made to construct use of neural networks in the medical field.

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Keywords
ANN (Artificial Neural Network), Neurons, Diagnosis system.