首页> 外文会议>International Conference on Manufacturing Science and Technology >A New Method of Rolling Prediction for Gas Emission Based on Wavelet Neural Network
【24h】

A New Method of Rolling Prediction for Gas Emission Based on Wavelet Neural Network

机译:基于小波神经网络的气体发射滚动预测方法

获取原文

摘要

A new method of rolling prediction for gas emission based on wavelet neural network is proposed in this paper. In the method, part of the sample data is selected, which length is constant, and the data is reselected as the next prediction step. Then a wavelet neutral network is adopted to prediction which input data is rolling, the sequence model of rolling prediction is thus constructed. Simulation results have proved that the method is valid and feasible.
机译:本文提出了一种基于小波神经网络的气体发射滚动预测方法。 在该方法中,选择部分样本数据,其中长度是常量的,并且将数据重新选择为下一个预测步骤。 然后采用小波中性网络预测输入数据轧制,因此构造了滚动预测的序列模型。 仿真结果证明了该方法有效可行。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号