Title :
Mathematical model of thermocouple characteristic based on neural network
Author :
Song, Zhe-Ying ; Liu, Chao-ying ; Song, Xue-ling
Author_Institution :
Coll. of Electr. Eng. & Informational Sci., Hebei Univ. of Sci. & Technol., China
Abstract :
The nonlinear compensation in the intelligent thermometer measurement instrumentation is introduced, and disadvantages of the compensation in hardware or software are discussed. The BP neural network method for the nonlinear compensation and its merits are proposed. The number of the hidden layer nodes and the improved algorithm are analyzed deeply, and the modeling process is presented in this paper. The example demonstrates that a more precise mathematical model of the thermocouple can be obtained based on the improved BP algorithm, which can be implemented by software, is beneficial to improve the instrument accuracy.
Keywords :
backpropagation; compensation; computerised instrumentation; neural nets; temperature measurement; thermocouples; backpropagation algorithm; intelligent thermal measurement instrumentation; neural network method; nonlinear compensation; thermocouple characteristic; Chaos; Circuits; Hardware; Instruments; Machine learning algorithms; Mathematical model; Neural networks; Temperature; Vectors; Voltage;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1259712
