Soft Computing Techniques detailed syllabus for Geoinformatics Engineering (Geoinformatics) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the Geoinformatics 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 Geoinformatics Engineering 6th Sem scheme and its subjects, do visit Geoinformatics 6th Sem 2019 regulation scheme. The detailed syllabus of soft computing techniques is as follows.
Course Objective:
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Unit I
Soft Computing and Artificial Neural Networks
Soft Computing : Introduction – soft computing vs. hard computing – soft computing techniques -applications of soft computing – ANN : Structure and Function of a single neuron: Biological neuron, artificial neuron, definition of ANN, Taxonomy of neural net, Difference between ANN and human brain, characteristics and applications of ANN, single layer network, Perceptron training algorithm, Linear separability, Widrow and Hebbian learning rule/Delta rule, ADALINE, MADALINE and BPN.
Unit II
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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 in Geomatics
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:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier..
Text Books:
- Freeman J.A. and Skapura B.M., “Neural Networks, Algorithms Applications and Programming Techniques”, Pearson , 2002.
- Jang J.S.R.,Sun C.T and Mizutami E – Neuro Fuzzy and Soft computing ,Prentice hall New Jersey, Pearson, 2015.
References:
- Introduction to Artificial Neural Systems by Jacek.M Zurada, Jaico Publishing House,2004.
- Timothy J.Ross:Fuzzy Logic Engineering Applications, 4th Edition, 2016, McGraw Hill,NewYork,1997.
- Laurene Fauseett: Fundamentals of Neural Networks, Pearson 2004, 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 detailed syllabus of all other subjects of Geoinformatics Engineering, 2019 regulation curriculum do visit Geoinformatics 6th Sem subject syllabuses for 2019 regulation.
For all Geoinformatics Engineering results, visit Anna University Geoinformatics all semester results direct link.