图书馆订阅: Guest
自动化与信息科学期刊

每年出版 12 

ISSN 打印: 1064-2315

ISSN 在线: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

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

卷 31, 册 7-9, 1999, pp. 51-58
DOI: 10.1615/JAutomatInfScien.v31.i7-9.90
Get accessGet access

摘要

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.

对本文的引用
  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

Begell Digital Portal Begell 数字图书馆 电子图书 期刊 参考文献及会议录 研究收集 订购及政策 Begell House 联系我们 Language English 中文 Русский Português German French Spain