Soft Computing
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Follow on Instagram for UpdatesSoft Computing Syllabus — Unit-wise Content
The official GTU curriculum for Soft Computing (subject code 2740203) as prescribed for CE · Semester 4 divides the course into 5 units, covering 32 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (2740203)Unit 1 Introduction
- What is Soft computing? Necessity of Soft computing
- Major Areas of Soft Computing
- Applications of Soft Computing
Unit 2 Evolutionary Computing
- Basic Concepts of Genetic Algorithms (GA)
- Working Principle
- Encoding methods
- Fitness function
- GA Operators- Reproduction
- Convergence of GA, Multi-level Optimization
- Real Life Problems
Unit 3 Fuzzy Systems
- Fuzzy Set theory
- Fuzzy Relation
- Minmax Composition
- Fuzzy Logic
- Fuzzy Rule based systems
- Fuzzy Decision Making
- Fuzzy Control Systems
- Fuzzy Classification
Unit 4 Neural Networks
- Basic Concept of Neural Network
- Overview of Learning rules and activation functions
- Single layer Perceptrons and Learning
- Back Propagation networks- Architecture of Back propagation (BP) Networks
- Backpropagation Learning
- Variation of Standard Backpropagation Neural Network
- Introduction to Associative Memory
- Adaptive Resonance Theory and Self Organizing Map, Recent Applications
Unit 5 Hybrid Systems
- Sequential Hybrid Systems
- Auxiliarty Hybrid Systems
- Embedded Hybrid Systems
- Neuro-Fuzzy Hybrid Systems
- Neuro-Genetic Hybrid Systems
- Fuzzy-Genetic Hybrid Systems
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