Soft Computing

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APPLICATION OF SOFT COMPUTING TECHNIQUES IN
ELECTRICAL ENGINEERING
Name of student SHUBHADEEP MUKHERJEE Roll
Number 10801620051 Semester 8th Sem Year
4th Paper code OE-EE-801A
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What is Soft Computing?

• Soft computing is an emerging approach to
  computing which parallel the remarkable ability
  of the human mind to reason and learn in a
  environment of uncertainty and imprecision.
• Some of its principle components includes
• Neural Network(NN)
• Fuzzy Logic(FL)
• GeneticAlgorithm(GA)
• These methodologies form the core of soft
  computing.

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GOALS OF SOFT COMPUTING

• The main goal of soft computing is to develop
  intelligent machines to provide solutions to real
  world problems, which are not modeled, or too
  difficult to model mathematically.
• Its aim is to exploit the tolerance for
  Approximation, Uncertainty, Imprecision, and
  Partial Truth in order to achieve close
  resemblance with human like decision making.

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SOFT COMPUTING DEVELOPMENT HISTORY
Soft Evolutionary Neutral Fuzzy
Computing Computing Network Logic
Zadeh 1981 Reichenberg 1960 McCulloch 1943 Zadeh 1965
Evolutionary Genetic
Evolution Evolutionary Genetic
Programming Strategies
Computing
Programming Algorithms
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Reichenberg Koza Reichenberg Fogel Holland
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Operations
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