NETS, A Tool for the Development and Evaluation of Neural Networks from
NASA Johnson Space Center, provides a simulation of Neural Network
algorithms plus an environment for developing such algorithms. NETS uses
the back propagation learning method for all of the networks which it
creates. NETS 3.0 also provides features for saving the weight values of a
network during the learning process, which allows for more precise control
over the learning process.

NETS 3.0, MSC-21588, is written in ANSI standard C language to be machine
independent. It has been successfully implemented on an IBM PC series
compatible running MS-DOS, a DEC VAX running VMS, a Sun/PC running SunOS,
and a CRAY Y-MP running UNICOS. Two executables for the IBM PC are
included on the distribution media, one compiled for floating point
operations and one for integer arithmetic. The program is available on a
set of three 5.25 inch 360K MS-DOS format diskettes (standard distribution
medium) or on a .25 inch streaming magnetic tape cartridge in UNIX tar
format. Program $150; documentation $20.

COSMIC, The University of Georgia
382 East Broad St, Athens, GA 30602-4272
706-542-3265

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