Discuss Importance of soft computing.
[3 marks]Enlist and Explain main components of soft computing technique.
[4 marks]Write short note on support vector machine.
[7 marks]Enumerate various activation functions of a neuron.
[3 marks]How tournament selection strategy is comparable to roulette wheel selection strategy, if they are individually applied to genetic algorithm?
[4 marks]Explain architecture and application of fuzzy-neural system. Give advantages and disadvantages of the same.
[7 marks]Explain applications of soft computing in Machine vision.
[7 marks]Compare classical relations and fuzzy relations.
[3 marks]Enlist and Explain properties of fuzzy sets.
[4 marks]Enumerate various Defuzzification methods. Explain any two in detail.
[7 marks]Explain fuzzy interface system.
[3 marks]Explain membership functions and its features.
[4 marks]Design a fuzzy logic controller: Mamdani & sugeno architecture.
[7 marks]Compare biological neurons and artificial neural network.
[3 marks]Explain Hebb network neuron model.
[4 marks]Distinguish between supervised and unsupervised learning network.
[7 marks]Enlist various types of learning methods in neural network.
[3 marks]Explain Mcculloh pitts neuron model.
[4 marks]Explain neural network architecture with comparison to human nervous system.
[7 marks]Explain concept of genetic and evolution applied to probabilistic search techniques?
[3 marks]Explain term Reproduction in Genetic Algorithm.
[4 marks]What are the evolution steps of genetic algorithm? Draw flow chart. Explain selection methods applied to genetic algorithm.
[7 marks]Define (1) Encoding (2) chromosome (3) mutation
[3 marks]Explain term Crossover in Genetic Algorithm.
[4 marks]Explain any application of Genetic algorithm for single objective optimization problem.1
[7 marks]