Subject Details
Dept     : EEE
Sem      : 7
Regul    : R2019
Faculty : Dr. R. Senthil Kumar
phone  : NIL
E-mail  : senkumar.r.eee@snsct.org
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Lecture Notes

UNIT 1:
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History and Introduction, Intelligence, Communication, Learning, Artificial Intelligence
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Importance, Definitions, Programming Methods, Techniques, Progress of Artificial Intelligence
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Growth of AI, AI and Industry, AI and the world, Current Trends in Applied AI,
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Growth of AI, AI and Industry, AI and the world, Current Trends in Applied AI,
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Modeling, Simulation and AI, Intelligent Systems, Role of IS, Comparisons with conventional programs
UNIT 2:
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Difference between human machine and intelligence
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Neural network models, Architectures of neural network models
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Introduction to Artificial Neural Network
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Knowledge representation of neural network, Learning process of neural network
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Knowledge representation of neural network, Learning process of neural network
UNIT 3:
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Introduction to fuzzy sets
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Membership function, Fuzzy inference -properties of fuzzy sets
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Membership function, Fuzzy inference -properties of fuzzy sets
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Fuzzification, Arithmetic operations of fuzzy numbers
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Defuzzification methods
UNIT 4:
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Introduction to Genetic Algorithm
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Cross over , Reproduction operators
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mutation, generational cycle, Genetic modeling and Genetic operators
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Convergence of genetic algorithm, Evolution of GA
UNIT 5:
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Applications of AI techniques
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Applications of AI techniques
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Load forecasting, Load flow techniques by using AI Techniques
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Economic load dispatch, Load frequency control by using AI Techniques
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Electric Vehicles by using AI Techniques