Artificial neural network offers a new approach to its study and prediction of membrane fouling, which is an effective tool to optimize membrane bioreactor operating conditions.
人工神经网络为膜生物反应器膜污染预测的研究提供了新的思路，是膜生物反应器优化控制的有效工具。
The prediction of fouling in condenser is heavily influenced by the periodic fouling processes and dynamics change of the parameters.
针对冷凝器的周期性结垢过程以及工况参数的动态变化，提出了一种冷凝器污垢预测的新方法。
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