COMFORT INDEX CALCULATION USING ARTIFICIAL NEURAL NETWORKS

被引：0
|
作者：
Jeler, Radu [1 ]
Rusu, Florina [1 ]
Balan, Radu [1 ]
机构：
[1] Tech Univ Cluj Napoca, Dept Mechatron & Machine Dynam, Cluj Napoca, Romania
来源：
ACTA TECHNICA NAPOCENSIS SERIES-APPLIED MATHEMATICS MECHANICS AND ENGINEERING | 2015年 / 58卷 / 02期
关键词：
comfort index; artificial neural networks; evolutionary algorithm;
D O I：
暂无
中图分类号：
O3 [力学];
学科分类号：
08 ; 0801 ;
摘要：
Client comfort has been and still is one of the most important goals of respectable companies. The comfort is influenced by several factors, such as air temperature or noise. However, the factor influence differs sometimes dramatically. Based on statistical data collected using sensors the influence of each factor can be approximated. In this paper we propose a comfort index calculation based on a basic artificial neural network which uses an evolutionary algorithm for the training process.
引用
收藏
页码：263 / 266
页数：4
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