History and Introduction, Intelligence, Communication, Learning, Artificial Intelligence, Importance, Definitions, Programming Methods, Techniques, Progress of Artificial Intelligence, Growth of AI, AI and Industry, AI and the world, Current Trends in Applied AI, Modeling, Simulation and AI, Intelligent Systems, Role of IS, Comparisons with conventional programs
Artificial Neural Network: introduction - difference between human machine and intelligence - neural network models- architectures – knowledge representation– learning process
Introduction– fuzzy sets - membership function –fuzzy inference -properties of fuzzy sets, fuzzification, arithmetic operations of fuzzy numbers-defuzzification methods
Introduction-encoding –fitness function-reproduction operators-genetic modeling –genetic operators- cross over and mutation- generational cycle-convergence of genetic algorithm
Applications of AI techniques- load forecasting – load flow studies – economic load dispatch – load frequency control-Electric Vehicles
Reference Book:
1 Padhy. N.P, “Artificial Intelligence and Intelligent Systemsâ€, OXFORD University Press, New Delhi, 2005 2 Stamations V., Kartalopoulos, “Understanding Neural Networks and Fuzzy Logic: Basic concepts and Applicationsâ€,Prentice Hall India Private Limited, New Delhi, 2002 3 AbhisekUkil, “Intelligent Systems and Signal Processing in Power Engineering, SpringerBerlin Heidelberg, New York, 2007
Text Book:
1 Rajasekaran. S and Pai. G. A. V, “Neural Networks, Fuzzy Logic & Genetic Algorithmsâ€- PHI, New Delhi, 2003. 2. Kevin Warwick, Arthur Ekwue and Raj Aggarwal , “Artificial Intelligence Techniques in Power Systemsâ€, IEE Power Engineering Series, UK,1997
