An artificial neural network to linearize a G (tungsten vs. tungsten 26% rhenium) thermocouple characteristic in the range of zero to 2000°C-Reference-Cited by-同舟云学术

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An artificial neural network to linearize a G (tungsten vs. tungsten 26% rhenium) thermocouple characteristic in the range of zero to 2000°C

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Container-title:Proceedings of the IEEE International Symposium on Industrial Electronics
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Author:

Attari M.,Boudjema F.,Heniche M.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx3/3587/10699/00496622.pdf?arnumber=496622

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Optimized Thermocouple Temperature Sensor using 555 Timer and ANN Based Linearization;2020 IEEE Calcutta Conference (CALCON);2020-02

3. A synergy of voltage-to-frequency converter and continued-fraction algorithm for processing thermocouple signals;Measurement;2018-02

4. Design of a high precision temperature measurement system based on artificial neural network for different thermocouple types;Measurement;2006-10

5. Application of ANN to thermistor based temperature measurement systems;International Journal of Knowledge-based and Intelligent Engineering Systems;2005-09-13

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