Optimal BP arithmetic in moisture content measurement

被引：0

作者：

Jiang, Yu ^{[1
]}

Yang, Guohui ^{[2
]}

Chen, Zhigong ^{[3
]}

机构：

[1] Harbin Engn Univ, Informat & Commun Engn Coll, Harbin 150001, Peoples R China

[2] Harbin Inst Technol, Inst Ultra Precis Opt & Elect Instrument Engn, Harbin 150001, Peoples R China

[3] Beijing Univ Aeronaut & Astronaut, Sch Elect & Informat Engn, Beijing 100083, Peoples R China

来源：

WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS | 2006年

关键词：

moisture content; open microwave resonant; BP algorithm; genetic algorithm(GA);

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

How to reduce the measurement error caused by linear regression is the key in measuring tea moisture content with microwave transmission techniques. In this paper, an improved BP algorithm, which combines the genetic algorithm, is given for training artificial neural network to get the range of weights and thresholds. The method makes BP algorithm avoid getting into infinitesimal locally and has the merits of high prediction precision and rapid convergence. The results show that the mean squared error is 0.0116, the mean absolute error is 0.0738, the mean relative error is 0.1182 and the certain coefficient is 0.9863 between the predicted value and the real one.

引用

页码：3090 / +

页数：2

共 7 条

[1]

BARTLEY PG, 1997, IEEE INSTRUMENTATION, P19

[2]

Hecht Nielsen R., 1990, NEUROCOMPUTING

[3] Measurement of grain moisture content using microwave attenuation at 10.5 GHz and moisture density [J].

Kim, KB ;

Kim, JH ;

Lee, SS ;

Noh, SH .

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2002, 51 (01) :72-77

[4]

Rumelhart D.E., 1985, Learning internal representations by error propagation"

[5]

SAMIRTRABELSI AW, 1998, T INSTRUMENTATION ME, V47, P127

[6]

SAMIRTRABELSI AW, 1998, T INSTRUMENTATION ME, V47, P613

[7]

XIAO W, 1993, INTELLIGENT CONTROLL

← 1 →