Let's begin with what is soft computing.
This term was coined by L.A.Zadeh of university of California,USA. According to him,soft computing differs from hard computing(conventional computing) in its tolerance to imprecision, uncertainty and partial truth.
Hard computing methods are based on mathematical approach and hence demand high degree of precision and accuracy in their requirements. However in engineering problems in real life, the input parameters cannot be determined with a high degree of precision and so we have to rely on soft computing techniques to solve these problems.
Some of the technologies that form a part of soft computing family are:
1. Genetic Algorithms
2. Fuzzy Logic
3. Neural Networks
4. Cellular Automata
5. Probabilistic reasoning etc.
I will try to give an introduction to all these techniques but main focus will be on Genetic Algorithms, Fuzzy Logic and Neural Networks
This term was coined by L.A.Zadeh of university of California,USA. According to him,soft computing differs from hard computing(conventional computing) in its tolerance to imprecision, uncertainty and partial truth.
Hard computing methods are based on mathematical approach and hence demand high degree of precision and accuracy in their requirements. However in engineering problems in real life, the input parameters cannot be determined with a high degree of precision and so we have to rely on soft computing techniques to solve these problems.
Some of the technologies that form a part of soft computing family are:
1. Genetic Algorithms
2. Fuzzy Logic
3. Neural Networks
4. Cellular Automata
5. Probabilistic reasoning etc.
I will try to give an introduction to all these techniques but main focus will be on Genetic Algorithms, Fuzzy Logic and Neural Networks
1 comment:
Great work.
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