JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

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:

• 1. Haykin (2008), “Neural Networks: A Comprehensive Foundation”, Prentice Hall India, New Delhi
• 2. Rajasekaran S., and Vijayalakshmi Pai G.A. (2003), Nueral Neworks, Fuzzy Logic and Genetic Algorithms – Synthesis and Applications, Prentice-Hall India, New Delhi

REFERENCE:

• 1. 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 M. Tech – I Year – II Sem. (GIST)