MCA C3004
Soft Computing
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For now, use the syllabus outline to see what this subject covers.
Syllabus topics
Role of AI in engineering, AI in daily life, Intelligence and Artificial Intelligence, Different tas k domains of AI, Programming methods, Limitations of AI Intelligent Agent: Agent, Performance Evaluation, task environment of agent, Agent classification, Agent architecture. [Q-1]
Notes will be added here.
Syllabus: supplied PDF, page 23.
Syllabus topics
Hard computing Vs Soft Computing, Soft computing constituents – ANN, Fuzzy Logic, GA Applications of Soft Computing. [Q-2]
Notes will be added here.
Syllabus: supplied PDF, page 23.
Syllabus topics
Artificial Neural Network - Introduction, Fundamental Concept, Artificial Neural Network, Brain vs. Computer - Comparison Between Biological Neuron and Artificial Neuron, Basic Models of Artificial Neural Network Supervised Learning Network -Linear Separability, Perceptron Networks, Adaptive Linear Neuron (Adaline), Multiple Adaptive Linear Neurons, Back -Propagation Network. Unsupervised Learning Networks- MaxNet. [Q-2]
Notes will be added here.
Syllabus: supplied PDF, page 23.
Syllabus topics
Introduction to Fuzzy Logic, Classical Sets and Fuzzy Sets: Introduction to Fuzzy Logic, Class ical Sets (Crisp Sets),Fuzzy Sets Classical Relations and Fuzzy Relations: Introduction, Cartesian Product of Relation, Classical Relation, Fuzzy Relations Membership Functions: Introduction, Features of the Membership Functions, Fuzzification, Methods of Membership Value Assignments Defuzzification: Introduction, Lambda -Cuts for Fuzzy Sets (Alpha -Cuts), Lambda -Cuts for Fuzzy Relations, Defuzzification Method. [Q-2]
Notes will be added here.
Syllabus: supplied PDF, page 23.
Syllabus topics
Genetic Algorithm: Basic concepts, Difference between genetic algorithm and traditional methods, Simple genetic algorithm, Working principle, Procedures of GA, Genetic operators : R eproduction, Mutation, crossover. [Q-1]
Notes will be added here.
Syllabus: supplied PDF, page 23.
Check your university’s syllabus for the topics covered in your exams.