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Overview
Prerequisite Courses
Design and Analysis of Algorithm
Companion Course
- 410255-Laboratory Practice IV
Course Objectives
- To know the basics behind the Design and development intelligent systems in the framework of soft computing
- To acquire knowledge of Artificial Neural Networks Fuzzy sets, Fuzzy Logic, Evolutionary computing and swarm intelligence
- To explore the applications of soft computing
- To understand the need of optimization
Course Outcomes
On completion of the course, student will be able to:
- Apply soft computing methodologies, including artificial neural networks, fuzzy sets, fuzzy logic, fuzzy inference systems and genetic algorithms
- Design and development of certain scientific and commercial application using computational neural network models, fuzzy models, fuzzy clustering applications and genetic algorithms in specified applications.
Syllabus and Notes
Labs and Practicals
Practicals
Oral Exam Questions
Previous Years' Exams
Question Papers
Modal Answer Papers
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