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- W2186666031 abstract "As a matter of an academic fact, modeling neuron is one of the most influential fundamentals in guiding and leading as well as the neural network efficiency, nonetheless the setting of the connections (Topology) in the network is a major role from affecting viewpoints. In this research the prediction of characteristics such as; temperatures, speeds and other parameters are as the outputs of an industrial process control device. First the outputs related to the speed, pressure and temperature are collected from the prepared tables of renowned corporations and then with the application of MATLAB software and the artificial neural network methods, a pertinent cliche for data is selectively collected. The final goal of this study is to attain the ideal regression which is recommended to be dealt with a Pre-assumption method. Besides, the final data calculated and sketched by graphs and diagrams were regulated then the variety of the mentioned methods in accord with their goals compared with one another and finally best ones of theirs chosen to be applied as the selective methods." @default.
- W2186666031 created "2016-06-24" @default.
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- W2186666031 date "2013-01-01" @default.
- W2186666031 modified "2023-09-24" @default.
- W2186666031 title "The Application of Synthetic Neural Network in the Process Control Device" @default.
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