摘要
由于数据分析大气污染物NOX具有较强的非线性特征,根据改进的BP算法具有非线性优化问题,使用其最优化中沿梯度下降算法,可完成自适应、自组织的过程,从而达到精确地预测效果。
Because the data analysis of air pollution thing NOx have good quality of nonlinear prediction. According it has nonlinear optimization problem, using it superior turn to win to follow the gradient descend algorithm. Can complete from the adaptive and selforganizing. Thus attain to predict the result by the square.
出处
《自动化与仪器仪表》
2005年第5期36-37,45,共3页
Automation & Instrumentation
基金
安徽省教育厅自然基金项目2005KJ066
关键词
BP算法
NOx
大气污染
BP algorithm
NOx
Atmosphere pollution
