Soft Sensor Modeling Method for Sulfur Recovery Process Based on Long Short-Term Memory Artificial Neural Network (LSTM)

In the process of sulfur recovery, H 2 S and SO concentrations reflect effectiveness reliability recovery process. However, concentration in is difficult to be measured by online analysis instrument, so soft sensing modeling method often used analyze system. Because SRU system has strong nonlinear characteristics dynamic characteristics,traditional methods are limited use. Long Short-Term Memory (LSTM)Artificial neural networks show ability processing data data. Therefore, LSTM this paper systematically