CS6012 SOFT COMPUTING | Impotent Questions | Question bank | Syllabus | Model and Previous Question papers | Download PDF

CS6012 SOFT COMPUTING 


CS6012 SOFT COMPUTING | Impotent  Questions | Question bank | Syllabus | Model and Previous Question papers | Download PDF Exammain.com Important Questions is available for download in this page for CS6012 SOFT COMPUTING. Students can download the Important Questions in the PDF format or in Word format. Questions Bank and Previous year question papers also be available in this page  . Important Questions provided here are the Expected questions that are possible to be appeared in the upcoming exams. you can make use of the below questions and prepare for your exams. CS6012 SOFT COMPUTING Important Questions . Download the Important Questions using the below link.

Subject Informations : 

University        :  Anna University
Department     :  B.E. COMPUTER SCIENCE AND ENGINEERING
Semester          :  08 th sem
Year                  :  04 th year
Regulation       :  R2013
Subject Code   :  CS6012
Subject Name  :  SOFT COMPUTING

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CS6012 SOFT COMPUTING – SYLLABUS – 2013 

OBJECTIVES:

The student should be made to:

• Learn the various soft computing frame works.
• Be familiar with design of various neural networks.
• Be exposed to fuzzy logic.
• Learn genetic programming.
• Be exposed to hybrid systems.

UNIT I INTRODUCTION 

Artificial neural network: Introduction, characteristics- learning methods – taxonomy – Evolution of
neural networks- basic models – important technologies – applications.
Fuzzy logic: Introduction – crisp sets- fuzzy sets – crisp relations and fuzzy relations: cartesian product of relation – classical relation, fuzzy relations, tolerance and equivalence relations, non-iterative fuzzy sets. Genetic algorithm- Introduction – biological background – traditional optimization and search techniques – Genetic basic concepts.

UNIT II NEURAL NETWORKS 

McCulloch-Pitts neuron – linear separability – hebb network – supervised learning network: perceptron networks – adaptive linear neuron, multiple adaptive linear neuron, BPN, RBF, TDNN- associative memory network: auto-associative memory network, hetero-associative memory network, BAM, hopfield networks, iterative autoassociative memory network & iterative associative memory network – unsupervised learning networks: Kohonen self organizing feature maps, LVQ – CP networks, ART network.

UNIT III FUZZY LOGIC 

Membership functions: features, fuzzification, methods of membership value assignmentsDefuzzification: lambda cuts – methods – fuzzy arithmetic and fuzzy measures: fuzzy arithmetic – extension principle – fuzzy measures – measures of fuzziness -fuzzy integrals – fuzzy rule base and approximate reasoning : truth values and tables, fuzzy propositions, formation of rules-decomposition of rules, aggregation of fuzzy rules, fuzzy reasoning-fuzzy inference systems-overview of fuzzy expert system-fuzzy decision making.

UNIT IV  GENETIC ALGORITHM 

Genetic algorithm and search space – general genetic algorithm – operators – Generational cycle –
stopping condition – constraints – classification – genetic programming – multilevel optimization – real life problem- advances in GA.

UNIT V HYBRID SOFT COMPUTING TECHNIQUES & APPLICATIONS

Neuro-fuzzy hybrid systems – genetic neuro hybrid systems – genetic fuzzy hybrid and fuzzy genetic
hybrid systems – simplified fuzzy ARTMAP – Applications: A fusion approach of multispectral images with SAR, optimization of traveling salesman problem using genetic algorithm approach, soft

computing based hybrid fuzzy controllers.

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CS6012 SOFT COMPUTING Notes – Click here to Download 

CS6012 SOFT COMPUTING Questions Papers – Click here to Download 

CS6012 SOFT COMPUTING 2 marks with answers – Click here to Download 

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