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• pdf  380.597kb doc 380.597kb Views: 2876 Date: 29.06.2010
  Kovalenko A. V. Urtenov M. K. Zaikina L. N.

  CLUSTER ANALYSIS OF THE FINANCIAL AND ECONOMIC CONDITION OF BUILDING BUSINESS BRANCH

  08.00.00 Economic sciences

  Tags: кластерный the analysis krasnodar region the multivariate statistical analysis neural networks networks of khohonen building branch subtractive clustering financial and economic condition of enterprises
  Description

  The article is devoted to the use of methods of cluster analysis, such as multivariate statistical, indistinct and neuronet, for an estimation of financial and economic condition of middle and small enterprises of building branch of Krasnodar region, and also to revealing of the reasons and laws of occurrence and development of crisis at these enterprises

• pdf  0kb doc 0kb Views: 3788 Date: 22.03.2007
  Bogoslavskiy S. N.

  SCOPE OF ARTIFICIAL NEURAL NETWORKS AND PROSPECT OF THEIR DEVELOPMENT

  08.00.00 Economic sciences

  Tags: artificial neural networks synaptic communications ability to training
  Description

  In the article various scopes and uses of artificial neural networks, and also their ability to training (to process of adjustment of architecture of a network and scales of synaptic communications) for the effective decisions of a task are considered

• pdf  199.989kb doc 199.989kb Views: 2278 Date: 28.10.2010
  Sokolovskiy A. R. Sokolovskaya I. Y.

  DATA MINING FOR CONSTRUCTION MODELS OF NEURAL NETWORKS UNDER LIMITED NUMBER OF EXPERIMENTS

  05.00.00 Technical science

  Tags: neural networks training toughness statistical method numerical experiment
  Description

  The approach of statistical modeling of data for neural networks training in order to predict strength characteristics for fiber-porous biocomposites is presented. This approach was attested on the examples of test data of the toughness for box-calf and elastic leather