In the article procedure of rough-down of information is examined for teaching of neuron networks. Shown, that exists problem of normalization of ordinals of variables in part of their internal levels. The improved chart of normalization, allowing setting ponder ability both ordinal of variable on the whole and its separate levels, is offered to application. Reverse normalization formulas over are also brought for interpretation of gravimetric coefficients of neurons
| Published in | American Journal of Neural Networks and Applications (Volume 1, Issue 1) |
| DOI | 10.11648/j.ajnna.20150101.14 |
| Page(s) | 29-32 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
Neuron, Normalization, Ordinal Variable, Neural Network, Self-Organizing Maps
| [1] | Mirkes E. M. Nejrokomp'yuter: proekt standarta / E. M. Mirkes; red. V. L. Dunin-Barkovskij; RAN, SO, In-t vychisl. modelirovaniya. – M.: Nauka: Sib. predpriyatie RAN, 1999. – 190 s. |
| [2] | Zaencev I. V. Nejronnye seti: osnovnye modeli. – Voronezh: VGU, 1999. – 157 s. |
| [3] | Gorban' A. N. Nejroinformatika / A. N. Gorban', V. L. Dunin-Barkovskij, A. N. Kirdin. – Novosibirsk: Nauka. Sibirskoepredpriyatie RAN. – 1998. – 296 s. |
| [4] | [4] Caregorodcev V. G. Optimizaciya predobrabotki dannyh: konstanta Lipshica obuchayushchej vyborki i svojstva obuchennyh nejronnyh setej // Nejrokomp'yutery: razrabotka i primenenie.–2003.–№ 7.–S. 3-8. |
| [5] | [5] Gitis T. P. Analiz urovnya professional'nogo razvitiya stanochnikov s ispol'zovaniem kart Kohonena / T. P. Gitis // Sbornik trudov Mezhdunarodnoj nauchnoj konferencii «Nejrosetevye tekhnologii i ih primenenie». – Kramatorsk: DGMA. – 2012. – S. 34-38. |
| [6] | Es'kov A. L. Upravlenie professional'nym razvitiem personala predpriyatiya na osnove ego ocenki / A. L. Es'kov, T. P. Gitis // Ekonomіka ta pravo. – 2013. - №2(36). – S.87-92 |
| [7] | Gitis T. P. Intellektual'nye metody upravleniya personalom predpriyatiya: monografiya / T. P. Gitis, V. B. Gitis. - Kramatorsk, DGMA, 2014. – 140 s. |
| [8] | Gitis T. P. Predvaritel'naya obrabotka dannyh dlya ocenki urovnya professional'nogo razvitiya rabochih s pomoshch'yu kart Kohonena / T. P. Gitis // Iskusstvennyj intellekt. Intellektual'nye sistemy: Materialy X mezhdunarodnoj nauchno-tekhnicheskoj konferencii. – Taganrog: Izd-vo TTI YUFU, 2009. – S. 74-76 |
| [9] | Gitis T. P. Pred- i postobrabotka informacionnyh potokov samoorganizuyushchihsya kart priznakov / T. P. Gitis, V. B. Gitis // Materialy Mezhdunarodnoj nauchno-tekhnicheskoj konferencii «Iskusstvennyj intellekt. Intellektual'nye sistemy II-2013». −Doneck: IPII «Naukaіosvіta», 2013. – S. 265-267. |
| [10] | Gitis T. P. Sovershenstvovanie procedury podgotovki obuchayushchih mnozhestv dlya nejronnyh setej / T. P. Gitis, V. B. Gitis // Vіsnik Donbas'koї derzhavnoї mashinobudіvnoї akademії. – 2011. – № 2 (8E). – S. 42-46. |
APA Style
Veniamin B. Gitis, Tatyana P. Gitis. (2015). Improving of Procedures for Preparing of Training Set for Neural Networks. American Journal of Neural Networks and Applications, 1(1), 29-32. https://doi.org/10.11648/j.ajnna.20150101.14
ACS Style
Veniamin B. Gitis; Tatyana P. Gitis. Improving of Procedures for Preparing of Training Set for Neural Networks. Am. J. Neural Netw. Appl. 2015, 1(1), 29-32. doi: 10.11648/j.ajnna.20150101.14
AMA Style
Veniamin B. Gitis, Tatyana P. Gitis. Improving of Procedures for Preparing of Training Set for Neural Networks. Am J Neural Netw Appl. 2015;1(1):29-32. doi: 10.11648/j.ajnna.20150101.14
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Download@article{10.11648/j.ajnna.20150101.14,
author = {Veniamin B. Gitis and Tatyana P. Gitis},
title = {Improving of Procedures for Preparing of Training Set for Neural Networks},
journal = {American Journal of Neural Networks and Applications},
volume = {1},
number = {1},
pages = {29-32},
doi = {10.11648/j.ajnna.20150101.14},
url = {https://doi.org/10.11648/j.ajnna.20150101.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnna.20150101.14},
abstract = {In the article procedure of rough-down of information is examined for teaching of neuron networks. Shown, that exists problem of normalization of ordinals of variables in part of their internal levels. The improved chart of normalization, allowing setting ponder ability both ordinal of variable on the whole and its separate levels, is offered to application. Reverse normalization formulas over are also brought for interpretation of gravimetric coefficients of neurons},
year = {2015}
}
TY - JOUR T1 - Improving of Procedures for Preparing of Training Set for Neural Networks AU - Veniamin B. Gitis AU - Tatyana P. Gitis Y1 - 2015/08/01 PY - 2015 N1 - https://doi.org/10.11648/j.ajnna.20150101.14 DO - 10.11648/j.ajnna.20150101.14 T2 - American Journal of Neural Networks and Applications JF - American Journal of Neural Networks and Applications JO - American Journal of Neural Networks and Applications SP - 29 EP - 32 PB - Science Publishing Group SN - 2469-7419 UR - https://doi.org/10.11648/j.ajnna.20150101.14 AB - In the article procedure of rough-down of information is examined for teaching of neuron networks. Shown, that exists problem of normalization of ordinals of variables in part of their internal levels. The improved chart of normalization, allowing setting ponder ability both ordinal of variable on the whole and its separate levels, is offered to application. Reverse normalization formulas over are also brought for interpretation of gravimetric coefficients of neurons VL - 1 IS - 1 ER -
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