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Journal of Automation and Information Sciences

Выходит 12 номеров в год

ISSN Печать: 1064-2315

ISSN Онлайн: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Application of Self-Organizing Neural Networks with Active Neurons for Prediction of Bioactivity of Chemical Compounds by the Analogues Search Algorithm

Том 31, Выпуск 7-9, 1999, pp. 51-58
DOI: 10.1615/JAutomatInfScien.v31.i7-9.90
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Краткое описание

In the developed artificial neural network the analogues complexing algorithm is used as active neurons. Proposed procedure of structure self-organization and parameters choice is used for testing of two experimental subsamples of data. Two variants of sorting procedures of variables sets are considered. Analogues are found by distance calculation between the given output point and its closest neighbours. Received results show that self-organizing neural networks with active neurons, can be successfully applied in structure-activity relationship studies.

ЦИТИРОВАНО В
  1. Hernández F., Herrera F., Identificación Inteligente de un Proceso Fermentativo Usando el Algoritmo GMDH Modificado, Revista Iberoamericana de Automática e Informática Industrial RIAI, 9, 1, 2012. Crossref

  2. Moroz Olha G., The Problem of Constructing the GMDH Neural Networks with Active Neurons, Control Systems and Computers, 5-6 (295-296), 2021. Crossref

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