基于冗余训练矩阵的病理过程智能诊断系统

A. Dovbysh, A. A. Stadnyk
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引用次数: 0

摘要

传染病诊断方法是在信息极限智能技术的范围内考虑的,该技术是基于决策支持系统在研究过程中的信息能力最大化,通过对冗余二值训练矩阵进行顺序优化。将该算法应用于急性肠道感染诊断网格中心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligence diagnosis system of pathological process with redundant training matrix
The method of infection diseases diagnosing is considered within the bounds of information-extreme intelligence technology, which is based on maximization of informational capability of a decision support system in the study process by means of sequential optimization of the redundant binary training matrix. Implementation of the proposed algorithm was done for GRID-center of acute enteric infection diagnosing.
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