Soft Computing Techniques
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Soft Computing Techniques Syllabus — Unit-wise Content
The official GTU curriculum for Soft Computing Techniques (subject code 3160619) as prescribed for Civil Engineering · Semester 6 divides the course into 5 units, covering 24 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 (3160619)Unit 1 Introduction to Soft Computing
- Concept of computing systems
- "Soft" computing versus "Hard" computing
- Characteristics of Soft computing
- Some applications of Soft computing techniques
Unit 2 Fuzzy logic
- Introduction to Fuzzy logic
- Fuzzy sets and membership functions
- Operations on Fuzzy sets
- Fuzzy relations
- implications and inferences
- Defuzzification techniques
- Some applications of Fuzzy logic
Unit 3 Genetic Algorithms
- Concept of "Genetics" and "Evolution" and its application to probabilistic search techniques
- Basic GA framework and different GA architectures
- GA operators: Encoding
- Mutation, etc
- Solving single-objective optimization problems using GAs
Unit 4 Artificial Neural Networks
- Biological neurons and its working
- Simulation of biological neurons to problem solving
- Different ANNs architectures
- Training techniques for ANNs
- Applications of ANNs to solve some real-life problems. 10 Subject Code: 3160619 w.e.f
Unit 5 Hybrid Systems
- Fuzzy Neural systems
- Genetic Fuzzy systems
- Genetic Neural system
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