Medical Applications of Artificial Neural Network

Authors

  • Deepshikha Sharma Assistant Professor, Department of Computer Science, Gurukul Mahavidyalaya, Raipur, Chhattisgarh, 492001, India
  • Sunil Kumar Kashyap Faculty, School of Studies in Mathematics, Pandit Ravishankar Shukla University, Raipur, Chhattisgarh, India

Abstract

The correspondence between the natural neurons and artificial neurons is defined in this paper. Thus, an excellent idea appears to design the standard diagnosis key diagnosis systems, which security is based on the well known number theoretic problem, i.e. elliptic curve discrete logarithm problem in multiplicative group of the finite field. But now we are moving in the revolutionary idea, “The Automatic groups G converted into the multiplicative groups G’ of the finite field Zp* of the order p-1, where p is the prime number, If G and G’ are one-to-one and onto isomorphic (Theorem ) .” By using this theorem, we design the new diagnosis key diagnosis system, whose security or encoding scheme is strictly different as compare to the other traditional encoding scheme.

Keywords:Diagnosis, Automatic Groups, Neurons, Diagnosis Systems, Isomorphic.

Cite this Article: Deepshikha Sharma, Sunil Kumar Kashyap. Medical Applications of Artificial Neural Network. Journal of Software Engineering Tools & Technology Trends. 2020; 7(2): 23–30p.

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Published

2020-08-21

Issue

Vol. 7 No. 2 (2020)

Section

Research Articles

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