Discuss backpropagation algorithm in detail with proper illustration.
[7 marks](i) Explain different neural network architecture. (ii) Correct the following statement, if incorrect then give proper justification. “XOR problem is linearly separable problem.”
[3 marks]How Travelling Salesman Problem(TSP) can be solved using GA. Describe operation performed in different phases using suitable examples.
[7 marks]Discuss various operations of fuzzy sets with example.
[7 marks]Let Rand Sbe fuzzy relations given below find max-min composition and max prod composition. 0.5 0.1 R = 0.2 0.9 S = 0.6 0.4 0.7 0.8 0.6 0.5 0.8 0.9
[7 marks](i) Compare : Supervised Vs. Unsupervised learning (ii) Why single layer perceptron is not capable of solving inseparable problem? (iii) Discuss the following terms in brief: 1) Offspring generation 2) Fitness function
[3 marks]Explain how genetic algorithm used for weight optimization in neural network.
[7 marks]What do you mean by hybrid system? Discuss advantages and application of neuro fuzzy hybrid system.
[7 marks]Explain adaptive neuro fuzzy inference system in detail.
[7 marks]Discuss learning by observation and learning by analogy with respect to machine learning.
[7 marks]Write the need of defuzzification in fuzzy set theory. Enlist and Explain different methods of defuzzification in brief.
[7 marks]Elaborate printed character recognition as an application of computational intelligence.
[7 marks](i) What do you mean by cross over reproduction? (ii) Discuss following terms: Perceptron, Membership function1
[4 marks]Consider a set P = {P1, P2, P3, P4} of four varieties of paddy plants, set D = {D1, D2, D3, D4} of the various diseases affecting the plants and S = {S1, S2, S3, S4} be the common symptoms of the diseases. Let Rbe a relation on Px D and Sbe a relation on Dx S. D 1 D 2 D 3 D 4 S1 S2 S3 S4 P1 0.0 0.5 0.2 0.8 D1 1.0 0.9 0.3 0.5 P2 0.3 0.1 0.3 0.2 D2 0.9 0.8 0.1 0.8 P3 0.5 0.0 0.4 0.0 D3 0.2 1.0 0.5 1.0 P4 0.8 0.9 0.5 1.0 D4 0.8 1.0 0.6 1.0 Obtain the association of the plants with the different symptoms of the diseases using max-min composition.
[7 marks]What do you mean by activation function, bias and delta rule? Describe different activation functions in neural network.
[7 marks](i) Discuss sequence prediction in machine learning. (ii) Discuss fuzzy membership interpretation using rough set theory.
[3 marks]Explain Mamdani fuzzy inference system with example.
[7 marks]