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To explore the unsteady-state and dynamics of purified terephthalic acid (PTA) solvent system, a multi-moving-window neural network (MMWNN) is proposed for process modeling. The core of this modeling approach is that multi-moving-window concept is incorporated in combination with auto-associative neural network (AANN) and generalized regression neural network (GRNN). The integrated neural network...
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