Neural Network Toolbox

Dimensions

The following code dimensions are used in describing both the network signals that users commonly see, and those used by the utility functions:

Ni = number of network inputs = net.numInputs

Ri = number of elements in input i = net.inputs{i}.size

Nl = number of layers = net.numLayers

Si = number of neurons in layer i = net.layers{i}.size

Nt = number of targets = net.numTargets

Vi = number of elements in target i, equal to Sj, where j is the ith layer with a target. (A layer n has a target if net.targets(n) == 1.)

No = number of network outputs = net.numOutputs

Ui = number of elements in output i, equal to Sj, where j is the ith layer with an output (A layer n has an output if net.outputs(n) == 1.)

ID = number of input delays = net.numInputDelays

LD = number of layer delays = net.numLayerDelays

TS = number of time steps

Q = number of concurrent vectors or sequences

Code Notes

Variables

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