The pattern file of a Backpropagation Net contains the input and target patterns for the net. The patterns should contain ASCII characters that are defined in the net's conversion file. The number of patterns can be changed freely.
The length of an input pattern must be the same as the number of neurons in the net's input neuron layer. The length of a target pattern must be the same as the number of neurons in the net's output neuron layer.
The general structure of a pattern file is as follows:
In the first line:
Number of patterns
In the second line:
Length of input patterns (same as number of neurons in input layer)
In the third line:
Length of target patterns (same as number of neurons in output layer)
Each following line:
The input pattern [whitespace] the target pattern
Below you see the pattern file towns.pat that is used in the BPN application. It contains 15 patterns (first line). Each input pattern consists of 10 ASCII characters (second line) and each target pattern consists of 7 characters (third line).
15
10
7
Bonn000000 Germany
Brasilia00 Brasil0
Brussels00 Belgium
Helsinki00 Finland
London0000 England
Madrid0000 Spain00
Moscow0000 Russia0
New0Delhi0 India00
Oslo000000 Norway0
Paris00000 France0
Rome000000 Italy00
Stockholm0 Sweden0
Tokyo00000 Japan00
Vienna0000 Austria
Washington USA0000
Note: A pattern file must be read after the connectLayers() method had been called.
