Compare Soft Computing and Hard Computing.
[3 marks]With a suitable diagram explain the law of Excluded Middle and the law of Contradiction.
[4 marks]Explain any one genetic algorithm-based application of soft computing.
[7 marks]Compare Artificial intelligence and human intelligence.
[3 marks]What is the activation function? Explain the different types of activation functions used in ANN’s.
[4 marks]Explain any one fuzzy logic-based application of soft computing.
[7 marks]Explain any one neural network-based application of soft computing.
[7 marks]Compare the Radial basis function network with a feed-forward neural network.
[3 marks]Define reflexive and irreflexive properties of a fuzzy relation.
[4 marks]Explain techniques of Supervised Learning Network.
[7 marks]Compare Fuzzy Logic and Crisp Logic.
[3 marks]State the merits and demerits of Kohonen Self-organizing feature maps.
[4 marks]Explain techniques of Unsupervised Learning Network.
[7 marks]Compare Biological neurons vs artificial neural networks.
[3 marks]Explain genetic algorithm operator: Encoding.
[4 marks]Write a short note on the Learning Vector Quantization network.
[7 marks]Compare Mamdani & Sugeno Fuzzy interface systems.
[3 marks]Explain genetic algorithm operator: Cross over.
[4 marks]Explain the basic membership functions of fuzzy sets with a suitable example.
[7 marks]Compare McCulloch-Pitts Neuron Model and Perceptron Model.
[3 marks]Explain genetic algorithm operator: Selection.
[4 marks]Realize the Mc-Culloch-Pitts neuron model for AND gate (take binary data).
[7 marks]Compare Hebb network and Perceptron Model.
[3 marks]Explain genetic algorithm operator: Mutation.
[4 marks]Define defuzzification. Explain and compare the first of maxima and last of maxima method.
[7 marks]