软计算与模糊集合论.ppt

文档介绍：软计算与模糊集合论
软计算(puting-SC)
软计算是正在发展起来的一种计算方法,它与人脑相对应,具有在不确定及不精确环境中进行推理和学****的卓越能力(Zadeh,1992)
puting (SC)
Objective:
Mimic human (linguistic) reasoning
Main constituents:
- Fuzzy systems
- works
- puting
- Probabilistic reasoning
Constituents of SC
Fuzzy systems => imprecision
works => learning
Probabilistic reasoning => uncertainty
puting => optimization
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Possible SC data & operations
Numeric data:5, about 5, 5 to 6, about 5 to 6
Linguistic data: cheap, very big, not high, medium or bad
Functions & relations:f(x), about f(x), fairly similar, much greater
works (NN, 1940's)
works offer a powerful method to explore, classify, and identify patterns in data.
Website of Matlab
Neuron: y=wixi
Machine learning (supervised)
Pattern recognition based on training data.
Classification supervised by instructor.
Neural (crisp or fuzzy), neuro-fuzzy and fuzzy models.
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Plum
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Instructor