Neural Network Toolbox

Variables

The variables a user commonly uses when defining a simulation or training session are

P

Network inputs.

Ni-by-TS cell array, each element P{i,ts} is an Ri-by-Q matrix.

Pi

Initial input delay conditions.

Ni-by-ID cell array, each element Pi{i,k} is an Ri-by-Q matrix.

Ai

Initial layer delay conditions.

Nl-by-LD cell array, each element Ai{i,k} is an Si-by-Q matrix.

T

Network targets.

Nt-by-TS cell array, each element P{i,ts} is an Vi-by-Q matrix.

These variables are returned by simulation and training calls:

Y

Network outputs.

No-by-TS cell array, each element Y{i,ts} is a Ui-by-Q matrix.

E

Network errors.

Nt-by-TS cell array, each element P{i,ts} is an Vi-by-Q matrix.

perf

network performance

Dimensions

Utility Function Variables

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