'Hopfield model' presentation slideshows

Biological Modeling of Neural Networks

Week 5: Networks of Neurons-Introduction. 5 .1 Introduction - networks of neuron - systems for computing - associative memory 5 .2 Classification by similarity 5 .3 Detour : Magnetic Materials 5.4 Hopfield Model 5.5 Learning of Associations

774 views • 66 slides

Biological Modeling of Neural Networks

Week 5: Networks of Neurons-Introduction. 5 .1 Introduction - networks of neuron - systems for computing - associative memory 5 .2 Classification by similarity 5 .3 Detour : Magnetic Materials 5.4 Hopfield Model 5.5 Learning of Associations

666 views • 66 slides

Chapter 7 Other Important NN Models

Chapter 7 Other Important NN Models. Continuous Hopfield mode (in detail) For combinatorial optimization Simulated annealing (in detail) Escape from local minimum Baltzmann machine (brief) Other models (brief) Reinforcement learning (between supervised and unsupervised learning)

585 views • 37 slides

Backbone Structure of Hairy Memory

ICANN 2006, Greece. Backbone Structure of Hairy Memory. Cheng-Yuan Liou Department of Computer Science and Information Engineering National Taiwan University. Discussions.

253 views • 25 slides

Associative Networks

Associative Networks. Associative networks are able to store a set of patterns and output the one that is associated with the current input. The patterns are stored in the interconnections between neurons, similarly to how memory in our brain is assumed to work.

628 views • 20 slides

Associative Networks

Associative Networks. Associative networks are able to store a set of patterns and output the one that is associated with the current input. The patterns are stored in the interconnections between neurons, similarly to how memory in our brain is assumed to work.

249 views • 20 slides

Soft computing

389 views • 19 slides