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 TRN32

TRN32 for Windows

Description

TRN32 performs topology-sensitive vector quantization. Unlike the SOM and the SOMnia programs the adjacency structure of the prototype system is not predetermined but will be learned and unlearned during network training. TRN32 is a Visual Pascal stand-alone version of the TRN and has been enriched with various additional features for initializing, processing k-block and k-sample data, computing statistical neighborhood results, or Sammon projections.

Two bugs were fixed in the 2013 version 1.3 which processes up to 30.000 cases, 100 variables, and 30 classes (prototypes). The weighted Simple Structure Index (wSSI) assists in determining the number of classes. Bubble charts visualize the results gained with block data (e.g. if each respondent evaluates the same number of product brands or destinations); the coefficient of similarity competition and a crosstabulation of classes (absolute and normalized frequencies) are provided for each pair of brands requested by the user.

Literature

TRN32 (Mazanec, 1997) is based on Martinetz, Th, Berkovich, St G and K Schulten (1993)'s "Neural Gas" Network for Vector Quantization and its Application to Time-Series Prediction', IEEE Transactions on Neural Networks, 4(4) 558-569, and

Martinetz, Th and K Schulten (1994) 'Topology Representing Networks', Neural Networks, 7(5) 507-522.

A first sample application in the marketing and consumer research literature is Mazanec, J. A. (1999), Simultaneous Positioning and Segmentation Analysis with Topologically Ordered Feature Maps: A Tour Operator Example, Journal of Retailing and Consumer Services, Special Issue on Marketing Applications of Neural Networks, 6 (4): 219-235. J. Mazanec and his research associates employ TRN for data reduction in product positioning and market segmentation. You may use the same test data files CITY468.DAT (26 cities * 18 years = 468 cases) and HOTEL152.DAT (4 hotels * 38 respondents = 152 cases) as for the SOMnia program.

Download

Note: You have to read and accept our download conditions before!

File

Version

OS

Location

Size

TRN32 for Windows

1.0

obsolete

HTTP

1.0 MB

Test data:

3 Files (city468.dat=26 cities' guest mix profiles * 18 years, hotel152.dat=4 hotels'  images * 38 respondents, somidis.dat=9 tour operators' images * 817 respondents)

HTTP

55 KB

TRN2008 (self-executable install file TRN2008install.exe)

1.1 (version 2008, contains TRN32.exe and the html help file TRN32.chm)

Windows XP/7/8/10

HTTP

1.5 MB

TRN2013 (download, unzip, and overwrite your old TRN32.exe file)

1.3 (contains improved TRN32.exe)

Windows XP/7/8/10

HTTP

1.0 MB


Copyright 2013-2018
| J. Mazanec | Oct. 2018