人工神经元网络辅助催化剂生产

Artificial Neural Networks Aided Catalyst Productio

本文提出了一种探索催化剂生产优惠操作条件的新方法．从而使最终产品的质量得以提高，并能节约人力、物力．寻优是依据数学模型离线进行的，模型采用人工神经元网络ＡＮＮ以实际上并不完全的历史数据训练后自动产生．

A new approach to the optimisation of operation conditions for a catalyst production process has been put forward and implemented resulting both in improvement ofthe end product qualities and in facility in economizing manpower and materials. Theoptimisation was carried out off-line using process models which were automatically set up by means of artificial neural networks (ANNs) trained with, in fact, incomplete, historicaldata.