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基于支持向量机奶牛饲粮能量消化预测方法 被引量:2
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作者 付强 沈维政 +4 位作者 魏晓莉 张永根 辛杭书 苏中滨 赵春江 《饲料研究》 CAS 北大核心 2019年第7期47-51,共5页
文章以预测奶牛饲粮消化能(DE)和能量消化率(ED)为目标,提出一种基于支持向量机(SVM)的预测方法,SVM是一种典型的非参数机器学习模型,无需提前对预测模型做任何假设,仅通过对训练样本数据的学习,便能拟合出最接近实际的函数。与传统LR... 文章以预测奶牛饲粮消化能(DE)和能量消化率(ED)为目标,提出一种基于支持向量机(SVM)的预测方法,SVM是一种典型的非参数机器学习模型,无需提前对预测模型做任何假设,仅通过对训练样本数据的学习,便能拟合出最接近实际的函数。与传统LR方法和其他非参数机器学习模型RBF-ANN的对比测试结果表明,基于SVM的预测模型在预测精度上优于其他方法,特别是在小样本条件下比传统的LR方法预测精度更高,可以作为对奶牛饲粮DE和ED进行预测的新型参考方法。 展开更多
关键词 奶牛饲粮 消化能预测 能量消化率预测 非参数模型 支持向量机
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Design of Greenhouse Environment Control System Based on Internet of Things 被引量:9
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作者 shen wei-zheng Wang Shi-yu +2 位作者 Nagi Eltieb Babker Eltieb Hou Han-dan Zheng Cheng 《Journal of Northeast Agricultural University(English Edition)》 CAS 2018年第2期54-64,共11页
There are some disadvantages, such as complicated wiring, high cost, poor monitoring flexibility, low accuracy and high energy consumption in traditional greenhouse environment monitoring system which based on previou... There are some disadvantages, such as complicated wiring, high cost, poor monitoring flexibility, low accuracy and high energy consumption in traditional greenhouse environment monitoring system which based on previous wireless sensor networks (WSN). Aiming at these problems, a greenhouse environmental parameter monitoring system had been designed based on internet of things technology in this paper. A set of control system with good robustness, strong adaptive ability and small overshoot was set up by combining the fuzzy proportion-integral-derivative (PID) control. The system was composed of a number of independent greenhouse monitoring systems. The server could provide remote monitoring access management services after the collected data were transmitted. The data transmission part of greenhouse was based on ZigBee networking protocol. And the data were sent to intelligent system via gateway connected to the internet. Compared to the classical PID control and fuzzy control, the fuzzy PID control could quickly and accurately adjust the corresponding parameters to the set target. The overshoot was also relatively small. The simulation results showed that the amount of overshoot was reduced 20% compared with classical PID control. 展开更多
关键词 GREENHOUSE environmental monitoring remote service fuzzy PID control
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Research on Rice Leaf Disease Recognition Based on BP Neural Network 被引量:1
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作者 shen wei-zheng Guan Ying +1 位作者 Wang Yan Jing Dong-jun 《Journal of Northeast Agricultural University(English Edition)》 CAS 2019年第3期75-86,共12页
To solve the problem of mistake recognition among rice diseases, automatic recognition methods based on BP(back propagation) neural network were studied in this paper for blast, sheath blight and bacterial blight. Cho... To solve the problem of mistake recognition among rice diseases, automatic recognition methods based on BP(back propagation) neural network were studied in this paper for blast, sheath blight and bacterial blight. Chose mobile terminal equipment as image collecting tool and built database of rice leaf images with diseases under threshold segmentation method. Characteristic parameters were extracted from color, shape and texture. Furthermore, parameters were optimized using the single-factor variance analysis and the effects of BP neural network model. The optimization would simplify BP neural network model without reducing the recognition accuracy. The finally model could successfully recognize 98%, 96% and 98% of rice blast, sheath blight and white leaf blight, respectively. 展开更多
关键词 rice LEAF disease recognition FEATURE extraction optimization o f CHARACTERISTIC paramete BP NEURAL network
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Study on Multi-variables Decoupled Fuzzy Controller for Confined Pig House in Northern China 被引量:1
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作者 shen wei-zheng Zhang Si-yuan +4 位作者 Yin Yan-ling Zhang Yu Wang Run-tao Yu Hai-jiao Nagi Eltieb 《Journal of Northeast Agricultural University(English Edition)》 CAS 2019年第1期73-85,共13页
In winter, the confined pig house of northern China is severe. The environment variables are nonlinear, time-varying and coupled, which seriously affect the health of pigs and the qualities of the meat. In order to so... In winter, the confined pig house of northern China is severe. The environment variables are nonlinear, time-varying and coupled, which seriously affect the health of pigs and the qualities of the meat. In order to solve the problem multi-variables coupling, a multi-variables decoupled fuzzy logic control method was proposed. Two fuzzy logic controllers were designed based on fuzzy logic theory. The fans, heaters and humidifiers were used to control temperature, humidity and ammonia. The reductions of temperature and humidity caused by ventilating were compensated by heaters and humidifiers respectively which realized the multivariables decoupling. The proposed methods were validated through theoretical, experimental and simulation analysis. The results suggested that the methods were able to regulate the confined pig house environment effectively. In addition, comparing to the manual regulation, the proposed methods could reduce 19% power consumption as well. 展开更多
关键词 PIG house environment fuzzy CONTROL variable DECOUPLING environmental CONTROL
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Individual Identification of Dairy Cows Based on Deep Feature Extrac-tion and Matching
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作者 shen wei-zheng Sun Jia +4 位作者 Liang Chen Shi Wei Guo Jin-yan Zhang Zhe Zhang Yong-gen 《Journal of Northeast Agricultural University(English Edition)》 CAS 2022年第3期85-96,共12页
Individual identification of dairy cows is the prerequisite for automatic analysis and intelligent perception of dairy cows'behavior.At present,individual identification of dairy cows based on deep convolutional n... Individual identification of dairy cows is the prerequisite for automatic analysis and intelligent perception of dairy cows'behavior.At present,individual identification of dairy cows based on deep convolutional neural network had the disadvantages in prolonged training at the additions of new cows samples.Therefore,a cow individual identification framework was proposed based on deep feature extraction and matching,and the individual identification of dairy cows based on this framework could avoid repeated training.Firstly,the trained convolutional neural network model was used as the feature extractor;secondly,the feature extraction was used to extract features and stored the features into the template feature library to complete the enrollment;finally,the identifies of dairy cows were identified.Based on this framework,when new cows joined the herd,enrollment could be completed quickly.In order to evaluate the application performance of this method in closed-set and open-set individual identification of dairy cows,back images of 524 cows were collected,among which the back images of 150 cows were selected as the training data to train feature extractor.The data of the remaining 374 cows were used to generate the template data set and the data to be identified.The experiment results showed that in the closed-set individual identification of dairy cows,the highest identification accuracy of top-1 was 99.73%,the highest identification accuracy from top-2 to top-5 was 100%,and the identification time of a single cow was 0.601 s,this method was verified to be effective.In the open-set individual identification of dairy cows,the recall was 90.38%,and the accuracy was 89.46%.When false accept rate(FAR)=0.05,true accept rate(TAR)=84.07%,this method was verified that the application had certain research value in open-set individual identification of dairy cows,which provided a certain idea for the application of individual identification in the field of intelligent animal husbandry. 展开更多
关键词 cow individual identification convolutional neural networks deep feature extraction feature matching
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习近平总书记关于金融重要论述的哲学探析 被引量:8
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作者 申唯正 孙洪钧 《毛泽东邓小平理论研究》 CSSCI 北大核心 2019年第4期25-32,108,共9页
党的十八大以来,从'市场起决定性作用'到供给侧结构性改革,从中央金融工作会议到党的十九大报告,从'一带一路'倡议到'亚投行'的创立,从宣布设立上海科创板到金融供给侧改革等,均是习近平新时代中国特色社会主... 党的十八大以来,从'市场起决定性作用'到供给侧结构性改革,从中央金融工作会议到党的十九大报告,从'一带一路'倡议到'亚投行'的创立,从宣布设立上海科创板到金融供给侧改革等,均是习近平新时代中国特色社会主义经济思想的重要组成部分。从经济哲学视角看,这主要关涉五个方面:一是金融的重要性,内涵从'金融是国家重要的核心竞争力'的重要论断到金融供给侧改革的重要作用;二是金融本质的哲学要义,关涉政府与市场、金融与实体的辩证关系及破解普惠金融和绿色金融的思想;三是走向'自信、开放、创新'的中国金融观念;四是防范重大金融风险的忧患意识;五是从'零和'到'和合'的全球金融治理中国方案。这是21世纪马克思主义金融理论中国化的成果。结合中国的金融实践哲学研究新时代金融创新思想,可以丰富和完善习近平新时代中国特色社会主义思想。 展开更多
关键词 习近平金融思想 金融本质 金融观念 金融供给侧
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