Soft Computing Techniques Detailed Syllabus for Geo-Informatics and Surveying Technology M.Tech first year second 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 Soft Computing Techniques M.Tech 2017-2018 (R17) first year second sem is as follows.
M.Tech. I Year II Sem.
Course Objective: to understand the soft computing techniques application to Geo informatics
Course Outcome: at the end of semester the student will able to learn identify the ANN, fuzzy and neuro fuzzy algorithms which were suitable for geo informatics application.
UNIT – I : Information and uncertainty, Chance versus ambiguity, Classical sets and fuzzy sets, Logic and reasoning,
UNIT – II : Fuzzy set operations and fuzzy relations, Membership Functions, Fuzzy Systems
UNIT – III : Decision Making with Fuzzy Information. Fuzzy Classification and Pattern Recognition
UNIT – IV : Artificial Neural Networks (ANN), Biological Neuron, perceptron, Artificial neuron, neural processing , and Types of ANN.
UNIT – V : Learning algorithms, Neuro-Fuzzy Systems, Applications in Remote Sensing.
TEXT BOOKS:
- Haykin (2008), “Neural Networks: A Comprehensive Foundation”, Prentice Hall India, New Delhi
- Rajasekaran S., and Vijayalakshmi Pai G.A. (2003), Nueral Neworks, Fuzzy Logic and Genetic Algorithms – Synthesis and Applications, Prentice-Hall India, New Delhi
REFERENCE:
- Jang, J.R., Sun Chuen-tsai, and Mizutani Eiji, (2009), “Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence”, PHI Learning
For all other M.Tech 1st Year 2nd Sem syllabus go to JNTUH M.Tech Geo-Informatics and Surveying Technology 1st Year 2nd Sem Course Structure for (R17) Batch.
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