文章摘要
基于非线性映射的污水浓度软测量
Concentration soft-sensor of waste-water based on nonlinear mapping
  
DOI:
中文关键词: 软测量  相对误差  非线性映射  污水浓度
英文关键词: Soft-sensing  Relative error  Nonlinear mapping  Sewage concentration
基金项目:国家自然科学基金资助项目(51577057)
作者单位
张志飞1,刘士亚1 ,周少武2 1.佛山科学技术学院 自动化学院广东 佛山 528000 2.湖南科技大学 信息与电气工程学院湖南 湘潭 411201 
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中文摘要:
      基于污水处理厂减少监测污水装置的要求,提出了一种以相对误差最小为性能指标的污水浓度预测方法,该方法首先将低维空间的数据映射到高维空间,然后在高维空间上建立线性预测模型.最后给出了应用实例,并与传统的最小二乘法和当前热门的神经网络方法的结果进行了比较,结果表明本文方法结构简单而且有效.
英文摘要:
      A prediction approach of waste-water concentration was proposed, in order to reduce costs or decrease monitoring devices, by minimum relative error performance index. Firstly, non-linearly data on low dimensional space was mapped into high dimensional space, then established the linear prediction model on the high dimensional space, finally an application example was provided to illustrate the method, and comparisons was made with the traditional least squares method or the current popular neural network method. Simulation shows the method is simple and effective.
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