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Practical Neural Network Recipies in C++
book

Practical Neural Network Recipies in C++

by Masters
June 2014
Intermediate to advanced content levelIntermediate to advanced
493 pages
20h 30m
English
Morgan Kaufmann
Content preview from Practical Neural Network Recipies in C++
406
Chapter 22
Building the Training Set
The training set is built by means of one or more TRAINrfilename
commands. Each time this command is encountered, any existing
training set will be augmented with additional data from the named
file.
To erase the entire training set, use the CLEAR TRAINING
command.
The training file is in ASCII format, with one line per case.
Each line contains one or more real numbers with an optional sign and
decimal point. The number of numbers per line depends on the output
model. The CLASSIFY and AUTO models will have one number for
each input. The GENERAL model will have that, plus one number for
each output. Th ...
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Publisher Resources

ISBN: 9780080514338