Soft Computing detailed syllabus scheme for Information Technology (IT), 2017 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.
For 7th Sem Scheme of Information Technology (IT), 2017 Onwards, do visit IT 7th Sem Scheme, 2017 Onwards. For the Elective-VII scheme of 7th Sem 2017 onwards, refer to IT 7th Sem Elective-VII Scheme 2017 Onwards. The detail syllabus for soft computing is as follows.
Soft Computing Syllabus for Information Technology (IT) 4th Year 7th Sem 2017 DBATU
Lab Experiments Objective:
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Lab Experiments List:
- Implement simple logic network using MP neuron model
- Implement a simple linear regressor with a single neuron model
- Implement and test MLP trained with back-propagation algorithm
- Implement and test RBF network
- Implement SOFM for character recognition
- Implement fuzzy membership functions (triangular, trapezoidal, gbell, PI, Gamma, Gaussian)
- Implement defuzzyfication (Max-membership principle, Centroid method, Weighted average method)
- Implement FIS with Mamdani Inferencing mechanism
- A small project: may include classification or regression problem, using any soft computing technique studied earlier
For detail syllabus of all subjects of Information Technology (IT) 7th Sem 2017 onwards, visit IT 7th Sem Subjects of 2017 Onwards.