calcpd

Purpose

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 weight's 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 is 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 0, 2, and 4 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 the four initial input delay conditions Pi are defined.

• 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)
  

You can view the delayed inputs for the input weight going to layer 1 from input 1 at time steps 1 and 2.

• Pd{1,1,1}
  Pd{1,1,2}
  

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