基于RBF神经网络的制浆蒸煮终点预测模型

摘要

In order to stabilize the quality of paper pulp and predict cooking endpoint accurately, a RBF neural network (RBFNN) -based endpoint prediction system for pulping cooking process was proposed, and simulation results show that, compared with the BP model, the RBF prediction model has better speed and accuracy.%为稳定纸浆质量,实现蒸煮终点的精确预测,建立基于RBF网络的终点预测模型,通过与BP模型的比较,可知基于RBF网络的蒸煮终点预测模型具有较好的快速性及准确性.