A prediction model of NH3 concentration for swine house in cold region based on Empirical Mode Decomposition and Elman neural network

作     者：Weizheng Shen Xiao Fu Runtao Wang Yanling Yin Yan Zhang Udaybeer Singh Bilegtsaikhan Lkhagva Jian Sun 

作者机构：College of Electrical and InformationNortheast Agricultural UniversityHarbin 150030China Key Laboratory of Pig Breeding Facilities EngineeringMinistry of AgricultureHarbin 150030China College of Ling Nan Normal UniversityZhanjiang 524048China 

出 版 物：《Information Processing in Agriculture》 (农业信息处理（英文）)

年 卷 期：2019年第6卷第2期

页      面：297-305页

核心收录：

学科分类：0907[农学-林学] 0908[农学-水产] 07[理学] 08[工学] 071102[理学-系统分析与集成] 0710[理学-生物学] 0711[理学-系统科学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0905[农学-畜牧学] 0707[理学-海洋科学] 0906[农学-兽医学] 0829[工学-林业工程] 0901[农学-作物学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 081103[工学-系统工程] 

基　　金：This research is financially supported by National Key Research and Development Program of China(2016YFD0700204-02) The“Young Talents”Project of Northeast Agricultural University(17QC20) Research on Attitude Fusion Zero Offset Correction and Decoupling Noise Reduction for Non-flat Production Flow Sensors,China Postdoctoral Fund(2016M601406) Central Guide to Local Science and Technology Development(ZY17C06)and The Earmarked Fund for China Agriculture Research System(No.CARS-35).The authors are grateful to anonymous reviewers for their comments 

主　　题：Cold region’swine house Elman neural network Empirical Mode Decomposition NH3 concentration prediction Environmental monitoring 

摘      要：In order to improve the accuracy and reliability of ammonia(NH3)concentration prediction,which can provides a support to the ventilation control strategy,so as to reduce the impact of NH3 on the health and productivity of swine,this paper proposed an NH3 concentration prediction method based on Empirical Mode Decomposition(EMD)and Elman neural network *** NH3 concentration and other four environmental parameters including temperature,humidity,carbon dioxide and light intensity were decomposed into several different time-scale intrinsic mode functions(IMFs).Then,the Elman neural network prediction model was used to predict each *** predicted NH3 was obtained by reconstructing all the IMFs by *** results show that for the proposed method,the determination coefficient between the predicted and real measured value is 0.9856,the Mean Absolute Error is 0.7088 ppm,the Root Mean Square Error is 0.9096 ppm,and the Mean Absolute Percentage Error is 0.41%.Compared with the Elman neural network,the proposed method has a good improvement in the accuracy,and provide effective parameters for the environmental monitoring of the swine house and the regulation of the NH3 concentration.