ARTIFICIAL NEURAL NETWORKS (BM-704)-Biomedical Engineering (VII-Semester) | RGPV

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• Syllabus

• Syllabus - ARTIFICIAL NEURAL NETWORKS (BM-704)

• Parallel and distributed processing - I

• Interactive activation
• Competition models

• Parallel and distributed processing - II

• Constraint satisfaction neural network models

• Perceptron learning

• Perceptron learning

• Multilayer feed forward neural networks

• Multilayer feed forward neural networks

• Hopfield model for pattern storage task

• Hopfield model for pattern storage task

• Hopfield model with stochastic update

• Hopfield model with stochastic update

• Competitive learning neural networks for pattern clustering

• Competitive learning neural networks for pattern clustering

• Solution to travelling salesman problem using self organizing maps

• Solution to travelling salesman problem using self organizing maps

• Solution to optimization problems using Hopfield models

• Solution to optimization problems using Hopfield models

• Weighted matching problem: Deterministic, stochastic and mean-field annealing of an Hopfield model

• Weighted matching problem
• Deterministic annealing of an Hopfield model
• Stochastic annealing of an Hopfield model
• Mean-field annealing of an Hopfield model