UEI401
ARTIFICIAL INTELLIGENT TECHNIQUES AND APPLICATIONS 


L 
T 
P 
Cr 

3 
1 
2 
4.5 
Prerequisite(s): None 




Overview of Artificial Intelligence: The concept and importance of AI, Fields related to
AI, Human intelligence vs. machine intelligence.
Knowledge and general Concepts:
General concept of knowledge, Acquisition, Knowledge Representation and
organization: Prepositional and Predicate Logic, Theorem Proving, Structured
Knowledge representation using Semantic Networks, Frames, Scripts,, Conceptual
Graphs, Conceptual Dependencies, Knowledge Manipulation: Search space control,
Uninformed search, Depth first search, Breadth first search, Depth first search
with iterative deepening, Heuristic Search :Minimax Search procedure.
Expert Systems: Expert systems:
advantages, disadvantages, Expert system architecture, Functions of various
parts, Mechanism and role of inference engine, Types of Expert system, Tuning
of expert systems, Role of Expert systems in instrumentation and process
control.
Artificial Neural Networks: History
of neural networks, Structure and function of a single neuron, Biological
neurons, Artificial neuron models, Types of activation functions, Neural
network architectures: Fully connected, layered, Acyclic, Feed forward, Neural
learning: Correlation, Competitive, Evaluation of networks; Supervised
learning: Back propagation algorithm, Unsupervised learning, winnertake all networks, Adaptive resonance theory,
Application areas of neural networks: Classification, Clustering, Pattern
associations, Function approximation, Forecasting.
Fuzzy Logic: Fuzziness vs
Probability, Crisp logic vs Fuzzy logic, Fuzzy sets and systems, Operations on
sets, Fuzzy relations, Membership functions, Fuzzy rule generation, Defuzzification,
Applications of Fuzzy Logic in process Control and motion control.
Genetic Algorithms: Introduction and
concept, Coding, Reproduction, Crossover and mutation
scaling, Fitness, Applications.
Case Studies: Case studies related to AI in Instrumentation systems.
Laboratory work
MATLAB
tools using Fuzzy logic, ANFIS, Neural Networks, GA.
Text Books
Reference Books