Bio-Inspired Computing through Artificial Neural Network

Bio-Inspired Computing through Artificial Neural Network

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
DOI: 10.4018/978-1-5225-1908-9.ch053
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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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The ideas from natural and biological activities have provoked the progress of many sophisticated algorithms. These algorithms are broadly categorized as evolutionary computation and swarm intelligence (SI) algorithms. Evolutionary computation is a term used to describe algorithms which were inspired by ‘survival of the fittest’ or ‘natural selection’ principles (McCulloch et al., 1943), whereas ‘swarm intelligence’ refers to the algorithms and distributed problems-solvers which are inspired by the cumulative intelligence of swarm or combined behavior of insect and other animal societies. This section tries to provide a brief idea about some of the contemporary algorithms in the field of bio inspired computing.

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