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Decode Soft Computing Techniques for JNTU-H 16 Course (III - II - ECE - EC724PE) Open Elective

SKU: 9789389180992
I. A. Dhotre ISBN 9789389180992 Buy Kindle Edition Buy Printed Book
₹ 85.00
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Unit - I
Fundamentals of Neural Networks & Feed Forward Networks : Basic Concept of Neural Networks, Human Brain, Models of an Artificial Neuron, Learning Methods, Neural Networks Architectures, Single Layer Feed Forward Neural Network :The Perceptron Model, Multilayer Feed Forward Neural Network : Architecture of a Back Propagation Network (BPN), The Solution, Back propagation Learning, Selection of various Parameters in BPN. Application of Back propagation Networks in Pattern Recognition & Image Processing. (Chapter - 1)
Unit - II
Associative Memories & ART Neural Networks : Basic concepts of Linear Associator, Basic concepts of Dynamical systems, Mathematical Foundation of Discrete-Time Hop field Networks(HPF), Mathematical Foundation of Gradient-Type Hopfield Networks, Transient response of Continuous Time Networks, Applications of HPF in Solution of Optimization Problem: Minimization of the Traveling salesman tour length, Summing networks with digital outputs, Solving Simultaneous Linear Equations, Bidirectional Associative Memory Networks; Cluster Structure, Vector Quantization, Classical ART Networks, Simplified ART Architecture. (Chapter - 2)
Unit - III
Fuzzy Logic & Systems : Fuzzy sets, Crisp Relations, Fuzzy Relations, Crisp Logic, Predicate Logic, Fuzzy Logic, Fuzzy Rule based system, Defuzzification Methods, Applications : Greg Viot's Fuzzy Cruise Controller, Air Conditioner Controller. (Chapter - 3)
Unit - IV
Genetic Algorithms : Basic Concepts of Genetic Algorithms (GA), Biological background, Creation of Offsprings, Working Principle, Encoding, Fitness Function, Reproduction, Inheritance Operators, Cross Over, Inversion and Deletion, Mutation Operator, Bit-wise Operators used in GA, Generational Cycle, Convergence of Genetic Algorithm. (Chapter - 4)
Unit - V
Hybrid Systems : Types of Hybrid Systems, Neural Networks, Fuzzy Logic, and Genetic Algorithms Hybrid,
Genetic Algorithm based BPN: GA Based weight Determination, Fuzzy Back Propagation Networks : LR-type fuzzy numbers, Fuzzy Neuron, Fuzzy BP Architecture, Learning in Fuzzy BPN, Inference by fuzzy BPN. (Chapter - 5)

 

Unit - I
Fundamentals of Neural Networks & Feed Forward Networks : Basic Concept of Neural Networks, Human Brain, Models of an Artificial Neuron, Learning Methods, Neural Networks Architectures, Single Layer Feed Forward Neural Network :The Perceptron Model, Multilayer Feed Forward Neural Network : Architecture of a Back Propagation Network (BPN), The Solution, Back propagation Learning, Selection of various Parameters in BPN. Application of Back propagation Networks in Pattern Recognition & Image Processing. (Chapter - 1)
Unit - II
Associative Memories & ART Neural Networks : Basic concepts of Linear Associator, Basic concepts of Dynamical systems, Mathematical Foundation of Discrete-Time Hop field Networks(HPF), Mathematical Foundation of Gradient-Type Hopfield Networks, Transient response of Continuous Time Networks, Applications of HPF in Solution of Optimization Problem: Minimization of the Traveling salesman tour length, Summing networks with digital outputs, Solving Simultaneous Linear Equations, Bidirectional Associative Memory Networks; Cluster Structure, Vector Quantization, Classical ART Networks, Simplified ART Architecture. (Chapter - 2)
Unit - III
Fuzzy Logic & Systems : Fuzzy sets, Crisp Relations, Fuzzy Relations, Crisp Logic, Predicate Logic, Fuzzy Logic, Fuzzy Rule based system, Defuzzification Methods, Applications : Greg Viot's Fuzzy Cruise Controller, Air Conditioner Controller. (Chapter - 3)
Unit - IV
Genetic Algorithms : Basic Concepts of Genetic Algorithms (GA), Biological background, Creation of Offsprings, Working Principle, Encoding, Fitness Function, Reproduction, Inheritance Operators, Cross Over, Inversion and Deletion, Mutation Operator, Bit-wise Operators used in GA, Generational Cycle, Convergence of Genetic Algorithm. (Chapter - 4)
Unit - V
Hybrid Systems : Types of Hybrid Systems, Neural Networks, Fuzzy Logic, and Genetic Algorithms Hybrid,
Genetic Algorithm based BPN: GA Based weight Determination, Fuzzy Back Propagation Networks : LR-type fuzzy numbers, Fuzzy Neuron, Fuzzy BP Architecture, Learning in Fuzzy BPN, Inference by fuzzy BPN. (Chapter - 5)

 

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