Syllabus
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Course Code: $ Program Elective Lab-I MTCE-127 Course Name: Soft Computing |
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| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
|---|---|---|
| 1 | Study of different types of Neural Networks. | |
| 2 | To design and train AND gate using neural network training | |
| 3 | To design and train OR gate using neural network training. | |
| 4 | To design and train X-OR gate using neural network training. | |
| 5 | To design and train AND gate using Back propagation (BPN). | |
| 6 | To design and train OR gate using Back propagation | |
| 7 | To design and train X-OR gate using Back propagation. | |
| 8 | To implement Genetic Algorithm using soft computing approach. | |
| 9 | To implement Differential Evolutionary approach for solving stochastic problems | |
| 10 | To solve real-world problems using population-based Genetic and Differential Evolutionary approaches. | |
