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Analysis on the Prediction Model of Nitrite in the Yangtze River Estuary
Author(s): 
Pages: 80-85
Year: Issue:  1
Journal: Ocean Technology

Keyword:  亚硝酸盐预测自适应遗传算法弹性BP神经网络;
Abstract: 营养盐是控制长江口流域富营养化的关键因子之一.分析亚硝酸盐与其影响因子之间关系,引入人工智能方法,基于弹性BP神经网络,建立亚硝酸盐非线性预测模型,目的是通过影响因子在线监测,间接实现亚硝酸盐在线监测.依据神经网络权值和阈值获取方法不同,形成基于弹性BP神经网络、基于遗传算法和弹性BP神经网络,和基于改进的遗传算法和弹性BP神经网络的亚硝酸盐预测模型3种.通过仿真实验,分析3种模型对亚硝酸盐预测的影响,发现基于改进的自适应遗传算法和弹性BP神经网络的亚硝酸盐模型预测效果最优,为选择合适模型提供依据.
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