Uses of Package
org.simnet.networks

Packages that use org.simnet.networks

org.simbrain.network	The simbrain.network package contains the Piccolo-based zoomable GUI for designing, editing, and running neural networks.
org.simbrain.network.dialog.network	The simbrain.network.dialog.network package contains dialog classes that manage the creation and editing of network-level dialog boxes.
org.simbrain.network.nodes.subnetworks	The simbrain.network.nodes.subnetworks package contains the different network types.
org.simnet.networks	The simnet.networks package contains all neural network types in Simbrain.

Classes in org.simnet.networks used by org.simbrain.network

StandardNetwork
StandardNetwork serves as a high-level container for other networks and neurons.

Classes in org.simnet.networks used by org.simbrain.network.dialog.network

Backprop
Backprop implements a standard three layer backpropagation network.

Competitive
Competitive implements a Competitive network.

Hopfield
Hopfield.

LMSNetwork
LMSNetwork implements a least means squared network.

WinnerTakeAll
WinnerTakeAll.The neuron with the highest weighted input in a winner-take-all network takes on an upper value, all other neurons take on the lower value.

Classes in org.simnet.networks used by org.simbrain.network.nodes.subnetworks

Backprop
Backprop implements a standard three layer backpropagation network.

Competitive
Competitive implements a Competitive network.

Elman
Elman networks are simple recurrent networks based on the work of Jeff Elman.

Hopfield
Hopfield.

LMSNetwork
LMSNetwork implements a least means squared network.

StandardNetwork
StandardNetwork serves as a high-level container for other networks and neurons.

WinnerTakeAll
WinnerTakeAll.The neuron with the highest weighted input in a winner-take-all network takes on an upper value, all other neurons take on the lower value.

Classes in org.simnet.networks used by org.simnet.networks

Backprop
Backprop implements a standard three layer backpropagation network.

StandardNetwork
StandardNetwork serves as a high-level container for other networks and neurons.