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Bio-Inspired Computing through Artificial Neural Network

Bio-Inspired Computing through Artificial Neural Network
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Author(s): Nilamadhab Dash (C. V. Raman College of Engineering, India), Rojalina Priyadarshini (C. V. Raman College of Engineering, India), Brojo Kishore Mishra (C. V. Raman College of Engineering, India)and Rachita Misra (C. V. Raman College of Engineering, India)
Copyright: 2017
Pages: 29
Source title: Handbook of Research on Fuzzy and Rough Set Theory in Organizational Decision Making
Source Author(s)/Editor(s): Arun Kumar Sangaiah (VIT University, India), Xiao-Zhi Gao (University of Eastern Finland, Finland)and Ajith Abraham (Machine Intelligence Research Labs, USA)
DOI: 10.4018/978-1-5225-1008-6.ch011

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Abstract

Developing suitable mathematical or algorithmic model to solve real life complex problems is one of the major challenges faced by the researchers especially those involved in the computer science field. To a large extent Computational intelligence has been found to be effective in designing such models. Bio inspired computing is the technique which makes the machines intelligent by adapting the behavior and methods exhibited by the human beings and other living organisms while forming intelligent systems. These intelligent models include the intelligent techniques such as Artificial Neural Network (ANN), evolutionary computation, swarm intelligence, fuzzy system, artificial immune system accompanied by fuzzy logic, expert system, deductive reasoning. All these together form the area of Bio inspired computing. The chapter deals with various bio inspired technique, giving emphasis on issues, development, advances and practical implementations of ANN.

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