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- W2364470529 abstract "In addition to the controller and the control algorithms, the measurement of the sensors is also important in the control system. This paper is aimed at the detection part of the steel furnace temperature control system, using MATLAB as a tool, and offers the proposal about application of multi-layer neural networks to the inverse of thermal resistance model of non-linear mapping, making the temperature measurement of thermocouple more convenient. It has been shown in practical applications that the method proposed not only is correct, practical and has high control precision, but also make it convenient for thermocouple to be applied on measurement and control systems." @default.
- W2364470529 created "2016-06-24" @default.
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- W2364470529 date "2010-01-01" @default.
- W2364470529 modified "2023-09-26" @default.
- W2364470529 title "The Application of Neural Network on the Improving Methods of Detection of the Temperature Control System for the Furnace" @default.
- W2364470529 hasPublicationYear "2010" @default.
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