Using the language MC# for the implementation of a parallel pattern classifier. (English. Russian original) Zbl 1103.68748
Cybern. Syst. Anal. 41, No. 3, 468-472 (2005); translation from Kibern. Sist. Anal. 2005, No. 3, 179-182 (2005).
Summary: A classifier is constructed that can be efficiently used in multiprocessor systems. Its model is proposed that is designed for the classification of black-and-white patterns. The model is based on an artificial neural network and is implemented using parallel programming tools.
References:
| [1] | E. S. Borisov, Artificial Neural Networks, http://mechanoid.narod.ru/nns. · Zbl 1162.68597 |
| [2] | E. S. Borisov, Very-High-Performance Computer Systems, http://mechanoid.narod.ru/high-perf. |
| [3] | V. A. Golovko, Neural Networks: Training, Organization, and Application [in Russian], A. I. Galushkin (ed.), IPRZhR, Moscow (2001). |
| [4] | F. Wasserman, Neurocomputer Techniques: Theory and Practice [Russian translation], Mir, Moscow (1992). |
| [5] | MC#, http://u-pereslavl.botik.ru/adim/MCSharp/site. · Zbl 1147.20030 |
| [6] | Developers of the Language MC#, yury@serdyuk.botik.ru. |
| [7] | E. S. Borisov, ”The use of the MC# language for implementation of parallel algorithms in 3D simulation, ” Kibern. Sist. Anal., No. 1, 165–169 (2004). · Zbl 1101.68973 |
| [8] | A. Ye. Doroshenko, Mathematical Models and Methods of Organization of High-Performance Parallel Computations [in Russian], Naukova Dumka, Kiev (2000). · Zbl 1026.68158 |
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.
