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Soft Computing


Affiliations
1 Department of Computer Science, Sri Ramakrishna College of Arts and Science for Women, Coimbatore, India
2 Department of Computer Science, Sri Ramakrishna College of Arts and Science for Women, Coimbatore, India
     

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Soft computing is an evolving collection of methodologies, which aims to exploit tolerance for imprecision uncertainty, and partial truth to achieve robustness, tractability, and low cost. It can be a very attractive alternative to a purely digital system, but there are many traps waiting for researches trying to apply this new exciting technology. Software computing provides attractive opportunity to represent the ambiguity in human thinking with real life uncertainty. Fuzzy logic, Neural Networks, and Evolutionary Computation are the core methodologies of soft computing. For nonlinear processing both neural networks and fuzzy systems can be used.


Keywords

Soft Computing, Fuzzy Logic, Genetic Algorithms, Neural Networks, Expert Systems.
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  • Soft Computing

Abstract Views: 235  |  PDF Views: 3

Authors

R. Khanchana
Department of Computer Science, Sri Ramakrishna College of Arts and Science for Women, Coimbatore, India
P. Roja
Department of Computer Science, Sri Ramakrishna College of Arts and Science for Women, Coimbatore, India
S. Narmadha
Department of Computer Science, Sri Ramakrishna College of Arts and Science for Women, Coimbatore, India

Abstract


Soft computing is an evolving collection of methodologies, which aims to exploit tolerance for imprecision uncertainty, and partial truth to achieve robustness, tractability, and low cost. It can be a very attractive alternative to a purely digital system, but there are many traps waiting for researches trying to apply this new exciting technology. Software computing provides attractive opportunity to represent the ambiguity in human thinking with real life uncertainty. Fuzzy logic, Neural Networks, and Evolutionary Computation are the core methodologies of soft computing. For nonlinear processing both neural networks and fuzzy systems can be used.


Keywords


Soft Computing, Fuzzy Logic, Genetic Algorithms, Neural Networks, Expert Systems.