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Soft Computing Techniques


Pdf Specs

Exp Soft Computing Techniques Simulation Trainer


1 Implement simple logic network using MP neuronmodel SOFTCOMP100
2 Implement a simple linear regressor with a single neuron model
3 Implement and test MLP trained with backpropagation algorithm
4 Implement and test RBF network
5 Implement SOFM for character recognition
6 Implement fuzzy membership functions (triangular, trapezoidal, gbell, PI, Gamma, Gaussian)
7 Implement defuzzyfication (Max-membership principle, Centroid method, Weighted average method)
8 Implement FIS with Mamdaniinferencing mechanism
9 A small project: may include classification or regression problem , using any soft computing technique studied earlier

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