Pattern Recognition and Artificial Intelligence detail syllabus for Medical Electronics (Med Ele), 2017 regulation is taken from Anna University official website and presented for students of Anna University. The details of the course are: course code (MD8701), Category (PC), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other med ele 7th sem syllabus for be 2017 regulation anna univ you can visit Med Ele 7th Sem syllabus for BE 2017 regulation Anna Univ Subjects. The detail syllabus for pattern recognition and artificial intelligence is as follows.”
Course Objective:
The student should be made to:
- Understand the pattern recognition system and its types.
- Be familiar with the statistical and syntactic approach
- Understand the different knowledge representation schemes for AI problems.
- Explore different search strategies for a problem.
Unit I
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Unit II
Statistical Pattern Recognition
Parametric estimation and supervised learning, Maximum likelihood estimation, Bayesian parameter estimation, Non-parametric approaches – Parzen window, k-NN estimation, Unsupervised Learning – Clustering Concepts.
Unit III
Syntactic Pattern Recognition
Grammar Based Approaches, Elements of Formal Grammars, Parsing Concepts – Parsing Algorithm, Transition Networks in Parsing, Higher Dimensional Grammars, Stochastic Grammars, Graphical Approaches – Graph Isomorphism, Attributed Graphs.
Unit IV
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Unit V
Expert Systems
Components of Expert Systems, Production rules, Backwards vs Forward reasoning, Statistical reasoning, Meta level knowledge, Introspection, Knowledge engineering case studies, Heuristic search of state space, DFS, BFS, UCS, choice of a search algorithm, Admissibility theorems, search performance metrics, AI programming environments. AI oriented language and architecture.
Course Outcome:
Upon successful completion of the course, the student should be able to:
- Describe the different Types of Pattern Recognition.
- Implement statistical and syntactic approach of pattern recognition.
- Apply heuristic concepts to develop intelligent system
Text Books:
- Robert Schalkoff, Pattern Recognition: Statistical Structural and Neural Approaches,Wiley – India, 2009
- Artificial Intelligence: A new synthesis, Nils J Nilsson, Morgan Kaufmann Publishers.
References:
- R.O.Duda, P.E.Hart and D.G.Stork, Pattern Classification, John Wiley, 2001.
- Artificial Intelligence, 2nd ed., Rich, Tata McGraw Hill.
- Artificial Intelligence, R.B. Mishra, PHI, India, 2010.
For detail syllabus of all other subjects of BE Med Ele, 2017 regulation do visit Med Ele 7th Sem syllabus for 2017 Regulation.
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