Yinn-Mien Huang, Zhongyuan Lai, Hui Lan, Jinshan Sun
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Abstract
The accurate measurement of optical power meters is of great importance for modern industrial production. We proposed a new type of optical power meter that uses a BP neural network improved by a genetic algorithm to compensate for the optical power for temperature. The experiments showed that the temperature-compensated one can control the error within ±1°C, with better reliability and lower cost.
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