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 intelligence and machine intelligence – neural network models- architectures – knowledge representation – learning process
Introduction– fuzzy sets – membership function – fuzzy inference – properties of fuzzy sets, fuzzification, arithmetic operationsof fuzzy numbers – defuzzification methods – ANFIS
Linear & Logistic Regression – Classifiers – Support Vector Machine – clustering
Applications of AI techniques – load forecasting – load flow studies – economic load dispatch – load frequency control – Electric Vehicles - Case Studies
Reference Book:
Padhy. N.P, “Artificial Intelligence and Intelligent Systems”, OXFORD University Press, New Delhi, 2005 Stamations V., Kartalopoulos, “Understanding Neural Networks and Fuzzy Logic: Basicconcepts and Applications”,Prentice Hall India Private Limited, New Delhi, 2002 AbhisekUkil, “Intelligent Systems and Signal Processing in Power Engineering, SpringerBerlin Heidelberg, New York, 2007
Text Book:
Rajasekaran, S., Vijayalakshmi Pai, G. A., “Neural Networks, Fuzzy Logic & Evolutionary Algorithms”, PHI Learning, New Delhi, 2nd Edition, 2017 Ruchi Doshi, Kamal Kant Hiran, “ Machine Learning: Supervised and Unsupervised Learning algorithms with Real examples”, BPB Publications, 2021.
