Pdf Specs
Exp	Soft Computing Techniques Simulation Trainer	Model
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