MECH

CRA342: Machine Learning for Intelligent Systems syllabus for Mech 2021 regulation (Professional Elective-VII)

Machine Learning for Intelligent Systems detailed syllabus for Mechanical Engineering (Mech) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the Mech students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Mechanical Engineering 6th Sem scheme and its subjects, do visit Mech 6th Sem 2021 regulation scheme. For Professional Elective-VII scheme and its subjects refer to Mech Professional Elective-VII syllabus scheme. The detailed syllabus of machine learning for intelligent systems is as follows.

Machine Learning for Intelligent Systems

Course Objectives:

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Unit I

INTRODUCTION TO MACHINE LEARNING 9 Philosophy of learning in computers, Overview of different forms of learning, Classifications vs. Regression, Evaluation metrics and loss functions in Classification, Evaluation metrics and loss functions in Regression, Applications of AI in Robotics.

Unit II

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Unit III

FUZZY LOGIC 9 Introduction to Fuzzy Sets, Classical and Fuzzy Sets, Overview of Classical Sets, Membership Function, Fuzzy rule generation, Fuzzy rule generation, Operations on Fuzzy Sets, Numerical examples, Fuzzy Arithmetic, Numerical examples, Fuzzy Logic, Fuzzification, Fuzzy Sets, Defuzzification, Application Case Study of Fuzzy Logic for Robotics Application

Unit IV

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Unit V

RNN AND REINFORCEMENT LEARNING 9 Unfolding Computational Graphs, Recurrent neural networks, Application Case Study of recurrent networks in Robotics, Reinforcement learning, Examples for reinforcement learning, Markov decision process, Major components of RL, Q-learning. Application Case Study of reinforcement learning in Robotics

Course Outcomes:

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Text Books:

  1. Micheal Negnevitsky, Artificial Intelligence: A Guide to Intelligent Systems, 3rd Edition, Addision Wesley, England, 2011

Reference Books:

  1. Bruno Siciliano, Oussama Khatib, Handbook of Robotics, 2016 2nd Edition, Springer
  2. Simon Haykin, Neural Networks and Learning Machines: A Comprehensive Foundation, Third Edition, Pearson, delhi 2016.
  3. Timothy J Ross, Fuzzy Logic with Engineering Applications, 4th Edition, Chichester, 2011, Sussex Wiley.

For detailed syllabus of all the other subjects of Mechanical Engineering 6th Sem, visit Mech 6th Sem subject syllabuses for 2021 regulation.

For all Mechanical Engineering results, visit Anna University Mech all semester results direct link.

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