NNREP

Description

NNREP generates a report of the parameters in a back-propagation neural-network segment created by NNCREAT and trained by NNTRAIN.

Parameters

Name	Type	Length	Value range
Input: Input neural-network segment *	BIN port	1 - 1
Report	String	0 - 192	See parameter description

* Required parameter

Parameter descriptions

Input: Input neural-network segment

The neural-network segment (type 180, BIN) on which to generate the report.

Report

Specifies where to direct the generated report.

Available options are:

• LOG: generates a report on the terminal (default)
• <modulename.RPT>: appends a report to the module's RPT file
• DISK: generates a report on file "IMPRPT.LST"

Details

NNREP generates a report for the specified neural-network segment (DBNNS) from the input PCIDSK image file.

Neural-network segments (type 180) are created by NNCREAT and trained by NNTRAIN. NNREP examines the current state of the back-propagation neural network stored in the neural-network segment.

If the neural-network segment is created with NNCREAT, but not yet trained with NNTRAIN, some fields will display a value of Default or N/A. These fields are updated after running the first training process on the neural-network segment with NNTRAIN. A neural network that has not been trained with NNTRAIN consists of random weights in the range of -0.5 to +0.5.

Before running NNREP, NNCREAT and NNTRAIN must first be run to completion according to the descriptions in the corresponding Help topic for each. If only NNCREAT is run to completion before running NNREP, some fields will display only default values.