A Review of Soft Computing Advance in Genetics & Laser Biomedical Instrumentation  

Abstract

Soft computing refers to a collection of computational techniques in computer science, artificial intelligence, machine learning, medical instrumentation which attempt to study, model and analyze very complex phenomena. The principal constituents of Soft Computing (SC) are Neural Networks, Fuzzy Systems, Evolutionary Computation, Machine Learning and Probabilistic Reasoning. The paper studies the biological background of cells, nucleic acids and terminologies in genetic algorithms and also uric acid metabolism with chemical tests and finally laser lithotripsy procedure.  

Authors and Affiliations

Dr. Tryambak A. Hiwarkar , 2 Sridhar Iyer

Keywords

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  • EP ID EP141314
  • DOI -
  • Views 130
  • Downloads 0

How To Cite

Dr. Tryambak A. Hiwarkar, 2 Sridhar Iyer (2013). A Review of Soft Computing Advance in Genetics & Laser Biomedical Instrumentation  . International Journal of Advanced Research in Computer Engineering & Technology(IJARCET), 2(4), 1330-1338. https://europub.co.uk./articles/-A-141314