Abstract:

Based on the running data of the integrated desulfurization and denitrification unit,static modeling is studied for the process.The data set is established according to the process and data preprocessing method.Classification of the working conditions and simplification of the sample set are realized by K-means clustering algorithm.Static modeling of each and every working condition is established with the help of neural network.The simulation result shows that this method and corresponding neural network are effective.