SNNS. Stuttgart Neural Network Simulator

SNNS. Stuttgart Neural Network Simulator

주요특징.

유닉스기반.

Backpropagation (BP) for feedforward networks

• vanilla (online) BP
• BP with momentum term and flat spot elimination
• batch BP

Counterpropagation

Quickprop

Backpercolation 1

RProp

Generalized radial basis functions (RBF)

ART1

ART2

ARTMAP

Cascade Correlation

Recurrent Cascade Correlation

Dynamic LVQ

Backpropagation through time (for recurrent networks)

Quickprop through time (for recurrent networks)

Self-organizing maps (Kohonen maps)

TDNN (time-delay networks) with Backpropagation

Jordan networks

Elman networks and extended hierarchical Elman networks

Associative Memory

사이트 : http://www.ra.cs.uni-tuebingen.de/SNNS/

SNNS 의 R 패키지 : http://igotit.tistory.com/1333

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