What is artificial intelligence? Discuss recent development of AI and its significance in brief.
[7 marks]Define following terms with respect to Fuzzy Logic: (1) α -cut (2) Linguistic variable (3) Membership Function (4) Fuzzy singleton (5) Fuzzification (6) Cross-over (7) Mutation
[7 marks]Discuss in brief various types of learning methods in neural network.
[7 marks]Explain basic Neural Network architecture and working with example.
[7 marks]Explain architecture and application of Fuzzy-Neural system. Give advantages and disadvantages of the same.
[7 marks]Enumerate various defuzzification methods. Explain any two in detail.
[7 marks]Explain Fuzzy Inference Systems.
[7 marks]Explain supervised and unsupervised learning of Neural Network.
[7 marks]Explain recurrent networks and Multi layer feed forward network.
[7 marks]Suppose a genetic algorithm uses chromosomes of the form x = abcdefgh with a fixed length of eight genes. Each gene can be any digit between 0 and 9. Let the fitness of individual x be calculated as: f(x) = (a + b) − (c + d) + (e + f) − (g + h) , and let the initial population consist of four individuals with the following chromosomes: x1 = 6 5 4 1 3 5 3 x2 = 8 7 1 2 6 6 0 1 x3 = 2 3 9 2 1 2 8 x4 = 4 1 8 5 2 0 9 evaluate fitness of each individual and arrange them in their fitness order. What will be the maximum fitness value of this function? Also find out chromosome for this maximum fitness function with each gene between 0 to 9.
[4 marks]Explain the following genetic representations with appropriate illustrations.
[7 marks]Octal (b) Binary (c) Hexadecimal
[ marks]What are the evolution steps of Genetic Algorithm? Draw Flowchart. Explain selection methods applied to Genetic Algorithm.
[7 marks]Differentiate Reproduction and Crossover in Genetic Algorithm
[7 marks]Compare ANN with Fuzzy Logic System for power system application.
[7 marks]Discuss maintenance schedule of electrical power transmission network using genetic algorithm.
[7 marks]Suggest neural network based design for power system security assessment. OR1
[7 marks]How artificial neural network can be useful for load forecasting of electric power system.
[7 marks]