知识与财富的链接
在综合考虑生态系统中水华发生的机理特点基础上,采用改进的BP神经网络实现了对叶绿素最高点的非线性预测;利用灰色WPGM(1,1)模型的累加生成运算(AGO)对叶绿素最高值对应的时刻进行推算,从而预测水华的爆发时间点,经检验,神经网络预测结合灰色WPGM(1,1)预测模型相对误差在10%左右,能够对水华的发生进行判断和预报,有利于综合整治方案的优化和统筹.
Considering comprehensively the characteristics of water bloom occurrence mechanism in ecological system,the nonlinear prediction of the chlorophyll highest point is implemented based on improved BP neural network;and the time of maximum chlorophyll value is calculated based on the Accumulated Generating Operation（AGO） of WPGM（1,1） model.By inspection,the relative error of chlorophyll highest point model is controlled about 10%.The model is able to judge and predict the water bloom outbreak,and is beneficial to optimize and orchestrate the comprehensive regulation scheme
