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Application of Grey Correlation Degree Analysis in Broad Bean Strain Screening 被引量:1
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作者 Lin ZENG Chunqin WU +6 位作者 Guotian YANG Chaozhong ZHANG Shunsheng LU Yunfei SONG Yan LIU Lamei YANG Guixian WU 《Agricultural Biotechnology》 CAS 2018年第3期49-52,54,共5页
[Objectives] The aim was to clarify the target and approach to purifying and selecting Baoshan Touxinlv broad bean. [Methods] In 2012,5 homozygous strains were selected successfully as the material,and completely rand... [Objectives] The aim was to clarify the target and approach to purifying and selecting Baoshan Touxinlv broad bean. [Methods] In 2012,5 homozygous strains were selected successfully as the material,and completely randomized block arrangement was adopted with 3 repeated trials to analyze the effects of plant height,effective length of podding branches,branch number per plant,pod number per plant,grain number per pod and 100-grain weight on the yield of each plant in the system. [Results] The results showed that the effects of the various factors on the yield of Baoshan broad beans were in the order of grain number per pod 〉 effective length of podding branches 〉 100-grain weight 〉 pod number per plant 〉 branch number per plant 〉 plant height. [Conclusions]In breeding new strains of Baoshan broad beans,under the premise of ensuring the seed nature and quality of the original variety,priority should be given to the gain number per pod and the increment of effective length of podding branches,followed by the pod number per plant,branch number per plant,plant height,which is the best way to breed new strains of Baoshan Touxinlv broad beans. 展开更多
关键词 Touxinlv broad bean strain Economic characters grey correlation degree ANALYSIS Baoshan
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Application of grey weighted related degree to the ambient air quality assessment 被引量:3
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作者 孟宪林 沈晋 +1 位作者 孙丽欣 吕晓莹 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2006年第4期395-397,共3页
It is difficult to establish the integrated method to assess the ambient air quality because the atmospheric environmental system is composed of several environmental elements, which contains many contanination factor... It is difficult to establish the integrated method to assess the ambient air quality because the atmospheric environmental system is composed of several environmental elements, which contains many contanination factors. In view of the typical grey system character of the monitored data in the ambient air, this paper introduces the weighted value to obtain related degree during applying the method of grey related degree analvsis to assess ambient air quality by each polluting factor producing different effects on the environment quality. This method could give more reasonable and reliable evaluating results. Taking the monitored data of Harbin, a provincial city of Heilongjiang, for example in this paper, the result of assessment by this method was coincide,It with the actual environmental quality of Harbin. 展开更多
关键词 grey correlated degree environmental assessment weighting
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The Changes of Fiscal Agriculture-Supporting Expenditure and Farmers'Income Based on Grey Correlation Theory
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作者 LIU Yao-sen 《Asian Agricultural Research》 2011年第3期92-95,共4页
According to the relevant data of China Statistical Yearbook and Chinese Rural Statistical Yearbook in the year of 2009,the changes of grey correlation degree of farmers'net income,various items of incomes,nationa... According to the relevant data of China Statistical Yearbook and Chinese Rural Statistical Yearbook in the year of 2009,the changes of grey correlation degree of farmers'net income,various items of incomes,national gross agriculture-supporting expenditure and various items of expenditures,farmers'net income and various items of fiscal agriculture-supporting expenditure in the Eighth Five-Year Plan,Ninth Five-Year Plan and Tenth Five-Year Plan by using grey correlation degree and the by choosing seven indicators covering income from wage and salary,income from household business,transfer income and property income,agricultural production-supporting expenditure,agricultural basic construction expenditure,expenses of three items of agricultural technology and the fee of rural relief.The results show that the grey correlation degree of each time period and household net income shows the downward trend;from overall perspective,the grey correlation degree of national gross agriculture-supporting expenditure,agricultural basic construction expenditure and agricultural production-supporting expenditure shows the descending trend;the grey correlation degree of fiscal agricultural supporting expenditure and the expenditure of three items of agricultural technology and fee of rural relief show the upward trend;the influence of agricultural production-supporting expenditure on farmers'income shows downward trend;the influence of agricultural basic construction on farmers'income shows upward trend;the fee of rural relief play an active role in the promoting the farmers'income increase;the role played by fee of rural relief in promoting farmers'income increase should be further increased;the increase of farmers'income shows great reliance on agricultural science and technology.In the end,the relevant suggestions on establishing stable increase mechanism of fiscal agricultural support and insisting on the dynamic adjustment of the structure of fiscal agricultural supporting capital are put forward. 展开更多
关键词 Fiscal agricultural-supporting expenditure Farmers'income grey correlation degree grey correlation analysis China
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Analysis on Industry Structure Adjustment and Energy Consumption Based on Grey Theory——A Case Study of Qinghai Province
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作者 ZHANG Yin-ling WANG Dan-tong ZHOU Wei 《Asian Agricultural Research》 2011年第2期73-75,共3页
In view of the complexity and non-linearity of energy consumption system and the status quo of the development of energy in Qinghai Province,the relations between energy consumption and industrial structure is analyze... In view of the complexity and non-linearity of energy consumption system and the status quo of the development of energy in Qinghai Province,the relations between energy consumption and industrial structure is analyzed by using the quantitative analysis of grey relation degree by using the grey system theory.The relevancy degree among the primary industry,the secondary industry and the tertiary industry and living energy consumption are obtained,and then the trend of energy consumption in the following several years can be predicted.The results show that the secondary industry has the largest relevancy degree to the total energy consumption.In the end,according to the results of the research,several suggestions on how to saving energy are put forward.Firstly,the government should improve the high-tech industry and restrict the development of high-consumption and high-pollution industries.Secondly,the government should promote the low-carbon way of life;promote energy saving and control the energy consumption of the department of life.Thirdly,clean production should be actively promoted in the tertiary industry and the circular economy should be vigorously expanded. 展开更多
关键词 grey relevancy analysis grey correlation degree Industrial structure Energy consumption Qinghai Province China
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Identification of Time-Varying Modal Parameters for Thermo-Elastic Structure Subject to Unsteady Heating 被引量:1
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作者 孙凯鹏 胡海岩 赵永辉 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2014年第1期39-48,共10页
A time-varying modal parameter identification method combined with Bayesian information criterion(BIC)and grey correlation analysis(GCA)is presented for a kind of thermo-elastic structures with sparse natural frequenc... A time-varying modal parameter identification method combined with Bayesian information criterion(BIC)and grey correlation analysis(GCA)is presented for a kind of thermo-elastic structures with sparse natural frequencies and subject to an unsteady temperature field.To demonstrate the method,the thermo-elastic structure to be identified is taken as a simply-supported beam with an axially movable boundary and subject to both random excitation and an unsteady temperature field,and the dynamic outputs of the beam are first simulated as the measured data for the identification.Then,an improved time-varying autoregressive(TVAR)model is generated from the simulated input and output of the system.The time-varying coefficients of the TVAR model are expanded as a finite set of time basis functions that facilitate the time-varying coefficients to be time-invariant.According to the BIC for preliminarily determining the scope of the order number,the grey system theory is introduced to determine the order of TVAR and the dimension of the basis functions simultaneously via the absolute grey correlation degree(AGCD).Finally,the time-varying instantaneous frequencies of the system are estimated by using the recursive least squares method.The identified results are capable of tracking the slow time-varying natural frequencies with high accuracy no matter for noise-free or noisy estimation. 展开更多
关键词 THERMO-ELASTICITY TIME-VARYING modal parameter identification TVAR absolute grey correlation degree
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Fusion and Classification of Beijing-1 Small Satellite Remote Sensing Image for Land Cover Monitoring in Mining Area 被引量:1
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作者 DU Peijun YUAN Linshan +1 位作者 XIA Junshi HE Jianguo 《Chinese Geographical Science》 SCIE CSCD 2011年第6期656-665,共10页
In order to promote the application of Beijing-1 small satellite(BJ-1) remote sensing data,the multispectral and panchromatic images captured by BJ-1 were used for land cover classification in Pangzhuang Coal Mining.A... In order to promote the application of Beijing-1 small satellite(BJ-1) remote sensing data,the multispectral and panchromatic images captured by BJ-1 were used for land cover classification in Pangzhuang Coal Mining.An improved Intensity-Hue-Saturation(IHS) fusion algorithm is proposed to fuse panchromatic and multispectral images,in which intensity component and panchromatic image are combined using the weights determined by edge pixels in the panchromatic image identified by grey absolute correlation degree.This improved IHS fusion algorithm outper-forms traditional IHS fusion method to a certain extent,evidenced by its ability in preserving spectral information and enhancing spatial details.Dempster-Shafer(D-S) evidence theory was adopted to combine the outputs of three member classifiers to generate the final classification map with higher accuracy than that by any individual classifier.Based on this study,we conclude that Beijing-1 small satellite remote sensing images are useful to monitor and analyze land cover change and ecological environment degradation in mining areas,and the proposed fusion algorithms at data and decision levels can integrate the advantages of multi-resolution images and multiple classifiers,improve the overall accuracy and produce a more reliable land cover map. 展开更多
关键词 grey absolute correlation degree Intensity-Hue-Saturation (IHS) transformation D-S evidence theory Beijing- 1 small satellite
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