Dimensioning The Heating System for Residential Buildings Using Neural Networks

被引：0

作者：

Lacrama, Dan L. ^{[1
]}

Pintea, Florentina A. ^{[2
]}

Karnyanszky, Marius T. ^{[1
]}

机构：

[1] Tibiscus Univ Timisoara, Fac Comp Sci, Timisoara, Romania

[2] Politecn Univ Timisoara, Elect & Telecommun Fac, Timisoara, Romania

来源：

ELEVENTH SYMPOSIUM ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING (NEUREL 2012) | 2012年

关键词：

Neural Networks; Heating Systems Design; ENERGY;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper is focused on the development of a neural solution to the residential buildings' heating design. Basically it is about a large and complex design formula which we propose to compute employing a Multilayer Perceptron. The experimental results presented in the fourth section prove neural network can be a good design tool in this area.

引用

页数：3

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