| Neural Network Toolbox | |
Dimensions
The following code dimensions are used in describing both the network signals that user's 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
Q = number of concurrent vectors or sequences.
| | Exercises | Variables | |