Soft Computing Techniques Eee 8th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective V) detail syllabus for Electrical & Electronics Engineering (Eee), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (EE8012), Category (PE), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other eee 8th sem syllabus for be 2017 regulation anna univ you can visit Eee 8th Sem syllabus for BE 2017 regulation Anna Univ Subjects. For all other Professional Elective V subjects do refer to Professional Elective V. The detail syllabus for soft computing techniques is as follows.
Course Objective:
- The objective of the course is to make the students to understand the concepts of Artificial Neural Network, Fuzzy logic and Genetic algorithms and also their application in Geomatics.
Unit I
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Unit II
Fuzzy Systems
Fuzzy Logic: Fuzzy set theory, Fuzzy set versus crisp set, Crisp and fuzzy relations – introduction and features of membership functions, Fuzzy rule base system : fuzzy propositions, formation, decomposition and aggregation of fuzzy rules, fuzzy reasoning, fuzzy inference systems, fuzzy decision making.
Unit III
Neuro-Fuzzy Modelling
Adaptive Neuro-Fuzzy Inference Systems – Architecture – Hybrid Learning Algorithm – Learning Methods that Cross-fertilize ANFIS and RBFN – Coactive Neuro Fuzzy Modeling – Framework Neuron Functions for Adaptive Networks – Neuro Fuzzy Spectrum.
Unit IV
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Unit V
Applications of Soft Computing
image registration – Object recognition – Automated feature extraction – navigation – Integration of soft computing and GIS for flood forecasting and monitoring, Landslide susceptibility, Highway alignment, smart city planning, agriculture, solid waste disposal
Course Outcome:
- At the end of the course, students will be able to apply the concepts of Artificial Neural Network, Fuzzy logic, Genetic algorithms and also their application in Geomatic.
Text Books:
- Freeman J.A. and Skapura B.M., “Neural Networks, Algorithms Applications and Programming Techniques”, Addison-Wesely, 1990
- Jang J.S.R.,Sun C.T and Mizutami E – Neuro Fuzzy and Soft computing Prentice hall New Jersey,1998
References:
- Timothy J.Ross:Fuzzy Logic Engineering Applications. McGraw Hill,NewYork,1997.
- Laurene Fauseett: Fundamentals of Neural Networks. Prentice Hall India, New Delhi,1994.
- George J.Klir and Bo Yuan, Fuzzy Sets and Fuzzy Logic, Prentice Hall Inc., New Jersey,1995
- Nih.J. Ndssen Artificial Intelligence, Harcourt Asia Ltd.,Singapore,1998
For detail syllabus of all other subjects of BE Eee, 2017 regulation do visit Eee 8th Sem syllabus for 2017 Regulation.
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