Artificial Neural Networks Based Dynamic Weight Estimation with Optical Arrangement

被引：0
|
作者：
Bahar, H. B. [1 ,3 ]
Safari, E. [2 ]
Ghazijahani, H. A. [1 ]
机构：
[1] Univ Tabriz, Dept Elect & Comp Engn, Tabriz, Iran
[2] Univ Tabriz, Dept Atom & Mol, Fac Phys, Tabriz, Iran
[3] Univ Tabriz, Dept Elect Engn, Fac Engn, Tabriz, Iran
来源：
SCIENTIA IRANICA TRANSACTION D-COMPUTER SCIENCE & ENGINEERING AND ELECTRICAL ENGINEERING | 2010年 / 17卷 / 02期
关键词：
Optical arrangement; CCD (Charged Coupled Device); RBF neural network; Dynamic weight; Measurement;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this essay, an optical arrangement for the measurement of dynamic weight, by means of conducting a thin ray of light through it, is designed in order to enhance the measuring accuracy in the weight-estimation device. In this arrangement, CCD is responsible for producing raw data for processing. An artificial neural network type, RBF, is also used to improve the quality and speed of the measurement. While the scale of the weight-estimation device is oscillating, by applying the weight on the scale, the neural network by sampling the proportionate wave-shape yields the weight of object with high accuracy and high speed.
引用
收藏
页码：189 / 195
页数：7
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