Neural Network Toolbox

calcpd

Calculate delayed network inputs

Syntax

Pd = calcpd(net,TS,Q,Pc)

Description

This function calculates the results of passing the network inputs through each input weights tap delay line.

Pd = calcpd(net,TS,Q,Pc) takes,

net - Neural network.

TS - Time steps.

Q - Concurrent size.

Pc - Combined inputs = [initial delay conditions, network inputs].

and returns,

Pd - Delayed inputs.

Examples

Here we create a linear network with a single input element ranging from 0 to 1, three neurons, and a tap delay on the input with taps at zero, two, and four time steps.

net = newlin([0 1],3,[0 2 4]);

Here is a single (Q = 1) input sequence P with eight time steps (TS = 8).

P = {0 0.1 0.3 0.6 0.4 0.7 0.2 0.1};

Here we define the four initial input delay conditions Pi.

Pi = {0.2 0.3 0.4 0.1};

The delayed inputs (the inputs after passing through the tap delays) can be calculated with calcpd.

Pc = [Pi P];
Pd = calcpd(net,8,1,Pc)

Here we view the delayed inputs for input weight going to layer 1, from input 1 at time steps 1 and 2.

Pd{1,1,1}
Pd{1,1,2}

calcjx

calcperf