TY - GEN
T1 - IA-BP optimal algorithm in measuring tobacco moisture content with resonant microwave sensor
AU - Jiang, Yu
AU - Cao, Jun
AU - Liu, Jiu Qing
AU - Yang, Guo Hui
PY - 2005
Y1 - 2005
N2 - BP algorithm has been widely used in calibrating measurement results detected by microwave resonator for improvement of accuracy. Conventional BP algorithm tends to get into infinitesimal locally, which worsens the stability of the measurement accuracy. An evolutionary neural network model based on IA-BP optimal algorithm is proposed in this paper. In the model, IA algorithm is first used for global search and then BP algorithm for local search. Experiments indicated that the IA-BP optimal algorithm effectively avoid getting into infinitesimal locally and has the merits of high prediction precision, rapid convergence, global superiority and accuracy for optimization, which improves the measurement accuracy with the mean squared error 0.0125, the mean absolute error 0.0715, the mean relative error 0.1186 and the certain coefficient 0.9965 between the predicted moisture content and the real value.
AB - BP algorithm has been widely used in calibrating measurement results detected by microwave resonator for improvement of accuracy. Conventional BP algorithm tends to get into infinitesimal locally, which worsens the stability of the measurement accuracy. An evolutionary neural network model based on IA-BP optimal algorithm is proposed in this paper. In the model, IA algorithm is first used for global search and then BP algorithm for local search. Experiments indicated that the IA-BP optimal algorithm effectively avoid getting into infinitesimal locally and has the merits of high prediction precision, rapid convergence, global superiority and accuracy for optimization, which improves the measurement accuracy with the mean squared error 0.0125, the mean absolute error 0.0715, the mean relative error 0.1186 and the certain coefficient 0.9965 between the predicted moisture content and the real value.
KW - Evolutionary neural network
KW - IA-BP optimal algorithm
KW - Moisture content measurement
KW - Open resonant microwave moisture sensors
UR - https://www.scopus.com/pages/publications/28444468477
M3 - 会议稿件
AN - SCOPUS:28444468477
SN - 078039092X
SN - 9780780390928
T3 - 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005
SP - 4744
EP - 4748
BT - 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005
T2 - International Conference on Machine Learning and Cybernetics, ICMLC 2005
Y2 - 18 August 2005 through 21 August 2005
ER -