Department of Electrical Engineering,Tabriz University
Abstract
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 arti cial 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.
B. Bahar, H. , safari, E. and A. Ghazijahani, H. (2010). Artificial Neural Networks Based Dynamic Weight Estimation with Optical Arrangement. Scientia Iranica, 17(2), -.
MLA
B. Bahar, H. , , safari, E. , and A. Ghazijahani, H. . "Artificial Neural Networks Based Dynamic Weight Estimation with Optical Arrangement", Scientia Iranica, 17, 2, 2010, -.
HARVARD
B. Bahar, H., safari, E., A. Ghazijahani, H. (2010). 'Artificial Neural Networks Based Dynamic Weight Estimation with Optical Arrangement', Scientia Iranica, 17(2), pp. -.
CHICAGO
H. B. Bahar , E. safari and H. A. Ghazijahani, "Artificial Neural Networks Based Dynamic Weight Estimation with Optical Arrangement," Scientia Iranica, 17 2 (2010): -,
VANCOUVER
B. Bahar, H., safari, E., A. Ghazijahani, H. Artificial Neural Networks Based Dynamic Weight Estimation with Optical Arrangement. Scientia Iranica, 2010; 17(2): -.
)