Applied Soft Computing for B.Tech 7th sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.
The detailed syllabus for Applied Soft Computing B.Tech (R13) seventhsem is as follows
OBJECTIVES:
- To expose the students to the concepts of feed forward neural networks.
- To provide adequate knowledge about feedback neural networks
- To provide adequate knowledge about fuzzy and neuro-fuuzy systems
- To provide comprehensive knowledge of fuzzy logic control to real time systems.
- To provide adequate knowledge of genetic algorithms and its application to economic dispatch and unit commitment problems.
UNIT I : ARCHITECTURES – ANN [9 hours]
Introduction – Biological neuron – Artificial neuron – Neuron model – Supervised and unsupervised learning- Single layer – Multi layer feed forward network – Learning algorithm- Back propagation network.
UNIT II: NEURAL NETWORKS FOR CONTROL [9 hours]
Feedback networks – Discrete time Hopfield networks – Transient response of continuous time system – Applications of artificial neural network – Process identification – Neuro controller for inverted pendulum.
UNIT III : FUZZY SYSTEMS [9 hours]
Classical sets – Fuzzy sets – Fuzzy relations – Fuzzification – Defuzzification – Fuzzy rules – Membership function – Knowledge base – Decision-making logic – Introduction to neuro fuzzy system- Adaptive fuzzy system.
[TOTAL: 45 PERIODS]
OUTCOMES:
- Ability to understand and apply basic science, circuit theory, Electro-magnetic field theory control theory and apply them to electrical engineering problems.
- To understand and apply computing platform and software for engineering problems.
TEXT BOOKS:
- Laurance Fausett, Englewood cliffs, N.J., ‘Fundamentals of Neural Networks’,Pearson Education, 1992.
- Timothy J. Ross, ‘Fuzzy Logic with Engineering Applications’, Tata McGraw Hill, 1997.
- S.N.Sivanandam and S.N.Deepa, Principles of Soft computing, Wiley India Edition, 2nd Edition, 2013.
REFERENCES:
- Simon Haykin, ‘Neural Networks’, Pearson Education, 2003.
- John Yen & Reza Langari, ‘Fuzzy Logic – Intelligence Control & Information’, Pearson Education, New Delhi, 2003
- M.Gen and R,Cheng, Genetic algorithms and Optimization, Wiley Series in Engineering Design and Automation, 2000.
- Hagan, Demuth, Beale, “ Neural Network Design”, Cengage Learning, 2012.
- N.P.Padhy, “ Artificial Intelligence and Intelligent Systems”, Oxford, 2013.
- William S.Levine, “Control System Advanced Methods,” The Control Handbook CRC Press, 2011.
For all other B.Tech IC 7th sem syllabus go to Anna University B.Tech INSTRUMENTATION AND CONTROL ENGINEERING (IC) 7th Sem Course Structure for (R13) Batch. All details and yearly new syllabus will be updated here time to time. Subscribe, like us on facebook and follow us on google plus for all updates.
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