Soft Sensing Based on Artificial Neural Network
نویسندگان
چکیده
Soft-sensing or inferential estimation has long been considered a potent tool to deiil with the conflict between small control interval itntl large sampling interval existing in a wide variety of industrial processes. To extend the soft-sensing from linear system to nonlinear case, we propose it nonlinear soft-sensor on the basis of multi-step predication using recurrent neural network and a novel alternating training method especially suitable for slowly sampled primary output. The nonlinear soft-sensor has been demonstrated by simulation results to be able to produce (1uillit”led estitnittioti with good convergence speed.
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تاریخ انتشار 2004