关键词: 惩罚函数, 先验知识, 神经网络, 约束, 混凝沉淀

Abstract:

In this paper,first,by using the penalty function of the optimization method,the prior knowledge of an object is added to the performance function of a neural network,which makes the eventual trained model accord well with the demands of the prior knowledge even in the condition of less data samples.Then,a simulation with the neural network model of a real coagulation sedimentation process with large time delay is performed,the results verifying the reliability of the model trained by the above-mentioned method.Finally,the relationship between the constraint weight and the penalty factor is discussed.

Key words: penalty function, prior knowledge, neural network, constraint, coagulation sedimentation