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GBTU / MTU Syllabus of INTRODUCTION TO SOFT COMPUTING [Effective from the session : 2012-13]

 EOE-031/EOE-041: INTRODUCTION TO SOFT COMPUTING
(Neural Networks, Fuzzy Logic and Genetic Algorithm)

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Unit-I
Neural Networks-1(Introduction & Architecture)
Neuron, Nerve structure and synapse, Artificial Neuron and its model, activation functions,
Neural network architecture: single layer and multilayer feed forward networks, recurrent
networks.Various learning techniques; perception and convergence rule,
Auto-associative and hetro-associative memory.
8


Unit-II
Neural Networks-II (Back propogation networks)
Architecture: perceptron model, solution, single layer artificial neural network, multilayer
perception model; back propogation learning methods, effect of learning rule co-efficient ;back
propagation algorithm, factors affecting backpropagation training, applications.
8


Unit-III
Fuzzy Logic-I (Introduction)
Basic concepts of fuzzy logic, Fuzzy sets and Crisp sets, Fuzzy set theory and operations,
Properties of fuzzy sets, Fuzzy and Crisp relations, Fuzzy to Crisp conversion.
8



Unit-IV
Fuzzy Logic –II (Fuzzy Membership, Rules)
Membership functions, interference in fuzzy logic, fuzzy if-then rules, Fuzzy implications and
Fuzzy algorithms, Fuzzyfications & Defuzzificataions, Fuzzy Controller, Industrial applications.
8


Unit-V
Genetic Algorithm(GA)
Basic concepts, working principle, procedures of GA, flow chart of GA, Genetic representations,
(encoding) Initialization and selection, Genetic operators, Mutation, Generational Cycle,
applications.
8



Text Books:
1. S. Rajsekaran & G.A. Vijayalakshmi Pai, “Neural Networks,Fuzzy Logic and Genetic
Algorithm:Synthesis and Applications” Prentice Hall of India.
2. N.P.Padhy,”Artificial Intelligence and Intelligent Systems” Oxford University Press.

Reference Books:
3. Siman Haykin,”Neural Netowrks”Prentice Hall of India
4. Timothy J. Ross, “Fuzzy Logic with Engineering Applications” Wiley India.
5. Kumar Satish, “Neural Networks” Tata Mc Graw Hill

2 comments:

  1. thanks for give syllabus........

    ReplyDelete
  2. thank u so much for the syllabus

    ReplyDelete

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