Course Details
Subject {L-T-P / C} : ME6235 : Neural Network and Artificial Intelligence { 3-0-0 / 3}
Subject Nature : Theory
Coordinator : Prof. Jonnalagadda Srinivas
Syllabus
Machine learning, Biological neuron, Artificial neural networks-classification, leaning laws, activation functions, perceptron model, multilayer perceptron, Hopfield model, Association models, Hybrid neural networks, Applications in Engineering problems
Artificial Intelligence, Expert system design, Natural Language understanding, Knowledge representation, Types of AI languages, Some case studies
Course Objectives
- To understand role of neural networks in machine learning
- To study the modern AI tools and its applications including expert systems and NLP.
- To learn the principles of Deep learning
Course Outcomes
-Writing computer codes of ANN for required applications <br />-Understand the tools of AI
Essential Reading
- Jacek M.Zurada, Introduction to Artificial Neural Networks, Jaico
- E.Rich, K.Knight, S.B.Nair, Artificial Intelligence, McGraw Hill
Supplementary Reading
- Haykin, Neural networks and learning machines, Pearson
- M.C.Trivedi, A Classical Approach to Artificial Intelligence, Khanna