基于贝叶斯的织机运转状况预测模型的研究

应用贝叶斯对织机运转状况进行预测。首先阐述了贝叶斯的数学描述,然后建立织机运转状况的贝叶斯预测模型,对在线采集数据进行学习,并对织机的运转状况进行预测,取得了较好的效果。实践证明,它适合解析织机运转状况过程,而且透明的推理过程对织机运转状况判断变化趋势具有指导意义。

Prediction Model of Operating Condition of Loom Based on Bayesian Theorem

A new approach to predict the operating condition of the loom based on Bayesian network. Firstly, we proposed a kind of abbreviated forecasting formula after the mathematical basis of Bayesian network had been depicted. Secondly, a Bayesian model to predict the operating condition of the loom is created, and the parameters of the model are estimated by processing real time data of in the process of loom production. It is found that the Bayesian prediction model has good results,The Bayesian network is more ...