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基于支持向量机-改进型鱼群算法的CO2优化调控模型
引用本文:辛萍萍,张珍,王智永,胡瑾,邵志成,张海辉.基于支持向量机-改进型鱼群算法的CO2优化调控模型[J].农业机械学报,2017,48(4):249-256.
作者姓名:辛萍萍  张珍  王智永  胡瑾  邵志成  张海辉
作者单位:College of Mechanical and Electronic Engineering, Northwest A&F University;Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture,College of Mechanical and Electronic Engineering, Northwest A&F University;Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture,College of Mechanical and Electronic Engineering, Northwest A&F University;Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture,College of Mechanical and Electronic Engineering, Northwest A&F University;Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture,College of Mechanical and Electronic Engineering, Northwest A&F University;Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and College of Mechanical and Electronic Engineering, Northwest A&F University;Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture
基金项目:国家自然科学基金项目(31671587、31501224)和陕西省农业科技创新与攻关项目(2016NY-125)
摘    要:提出了融合支持向量机-改进型鱼群算法的CO2优化调控模型,为CO2精准调控提供定量依据。设计了嵌套试验,采集不同温度、光子通量密度、CO2浓度组合下的黄瓜光合速率,以此构建基于支持向量机的黄瓜光合速率预测模型;以预测模型网络为目标函数,采用改进型鱼群算法实现二氧化碳饱和点寻优,获得不同温度、光子通量密度组合条件的CO2饱和点,进而构建CO2优化调控模型。异校验结果表明,CO2饱和点实测值与预测值相关系数为0.965,最大相对误差3.056%。提出的CO2优化调控模型可动态预测CO2饱和点,为实现设施CO2精准调控提供了可行思路。

关 键 词:CO2优化调控模型  支持向量机算法  改进型鱼群算法  光合速率  CO2饱和点
收稿时间:2016/10/9 0:00:00

Carbon Dioxide Optimal Control Model Based on Support Vector-Improved Fish Swarm Algorithm
XIN Pingping,ZHANG Zhen,WANG Zhiyong,HU Jin,SHAO Zhicheng and ZHANG Haihui.Carbon Dioxide Optimal Control Model Based on Support Vector-Improved Fish Swarm Algorithm[J].Transactions of the Chinese Society of Agricultural Machinery,2017,48(4):249-256.
Authors:XIN Pingping  ZHANG Zhen  WANG Zhiyong  HU Jin  SHAO Zhicheng and ZHANG Haihui
Abstract:
Keywords:CO2 optimal regulation model  support vector machine algorithm  improved fish swarm algorithm  photosynthetic rate  saturation point of CO2
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