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, SimulationandAI,IntelligentSystems,RoleofIS,Comparisonswithconventionalprograms
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 operations of 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 Systemsâ€, OXFORD University Press, NewDelhi, 2005 , StamationsV.,Kartalopoulos,“Understanding Neural Networks and Fuzzy Logic: Basic concepts and Applicationsâ€, Prentice Hall India Private Limited, New Delhi,2002
Text Book:
Rajasekaran,S., Vijayalakshmi Pai, G.A., “Neural Networks, Fuzzy Logic & Evolutionary Algorithmsâ€, PHI Learning, NewDelhi, 2nd Edition, 2017. Ruchi Doshi, Kamal Kant Hiran, “ Machine Learning: Supervised and Unsupervised Learning algorithms with Real examplesâ€, BPB Publications, 2021.
