THE NEURAL-NETWORK OBJECTS

Citation
M. Kunze et J. Steffens, THE NEURAL-NETWORK OBJECTS, Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 389(1-2), 1997, pp. 12-15
Citations number
12
Categorie Soggetti
Nuclear Sciences & Tecnology","Physics, Particles & Fields","Instument & Instrumentation",Spectroscopy
ISSN journal
01689002
Volume
389
Issue
1-2
Year of publication
1997
Pages
12 - 15
Database
ISI
SICI code
0168-9002(1997)389:1-2<12:TNO>2.0.ZU;2-B
Abstract
The neural network objects (NNO) is a C++ class library that contains the most popular standard neural networks together with self-organizin g incremental models. The implementation takes full advantage of the O O-paradigm, i.e. all models are derived from the same abstract base cl asses which deal with the data structures and learning algorithms at o ne central place. All NNO are persistent. After training they save the mselves to permanent store in a computer independent format and may be re-activated for further training or recall cycles, even on a differe nt computer.