IT

Application of Soft Computing IT 7th Sem Syllabus for AKTU B.Tech 2019-20 Scheme (Departmental Elective-3)

Application of Soft Computing detail syllabus for Information Technology (IT), 2019-20 scheme is taken from AKTU official website and presented for AKTU students. The course code (RCS-071), and for exam duration, Teaching Hr/Week, Practical Hr/Week, Total Marks, internal marks, theory marks, and credits do visit complete sem subjects post given below.

For all other it 7th sem syllabus for b.tech 2019-20 scheme aktu you can visit IT 7th Sem syllabus for B.Tech 2019-20 Scheme AKTU Subjects. For all other Departmental Elective-3 subjects do refer to Departmental Elective-3. The detail syllabus for application of soft computing is as follows.

Unit I

For the complete syllabus, results, class timetable and more kindly download iStudy. It’s a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.

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.

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.

Unit IV

For the complete syllabus, results, class timetable and more kindly download iStudy. It’s a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.

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.

Reference 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 NetowrksPrentice Hall of India
  4. Timothy J. Ross, Fuzzy Logic with Engineering Applications Wiley India.
  5. Kumar Satish, Neural Networks Tata Mc Graw Hill

For detail syllabus of all other subjects of B.Tech It, 2019-20 regulation do visit It 7th Sem syllabus for 2019-20 Regulation.

Don’t forget to download iStudy for the latest syllabus, results, class timetable and more.

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