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Process Modeling by an Artificial Neural Network
ОглавлениеChapter 7 emphases the need for data‐driven black box and grey box modeling techniques where building of a first principle‐based model is infeasible or time consuming due to the complexity of the industrial equipment. How an artificial neural network (ANN) can be utilized as an effective tool of black box modeling in an industrial context is discussed in this chapter with various real‐life applications. A step‐by‐step procedure to build an ANN‐based modeling platform to utilize a large amount of process data is explained in detail with example calculations. The new horizon of modeling process performance parameters like selectivity, yield, and efficiency and how these models can be utilized to increase profit is explained here. Different examples and case studies of ANN models already applied in diverse fields of process industries are illustrated to give the reader a feel for large scope and potential of applications of the ANN in industry.