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1.
Spatial load forecasting is a process distributing the total forecasted load to all partitioned area, and involving more spatial information and more factor influencing application of the future small area, which need a great deal of memory space and longer operation time. Rough set is new method of data analysis. It need not be provided with any advanced information except data set. But attribute reduct is its main algorithms. Division matrix approach on rough set used to reduce the attribute related to land - use decision in order to remove redundancy attribute and then the rules of small area land - use decision is distilled. The method obtained better effect and enhanced the total load forecasting efficiency.  相似文献   
2.
The discretization of real values is always one of the key problems to be solved in the domain of machine learning for its great contribution to speeding up the followed learning algorithms, cutting down the real demand of algorithms on running space and time, and improving the clustering capability of the ultimate learning results. The basic characteristics and framework of discretization approaches based on rough set model are analyzed at first, then the different measurements of the importance of candidate cuts are discussed and researched. Two new heuristic algorithms are put forward to finally select the useful cuts from a candidate set. The selected cuts of the two algorithms will adequately maintain the discernible relation of information systems for their full considering the specialty of rough set, which perfectly embodies the advantages of this theory. Moreover, excellent discretization results may be expected through these heuristic algorithms.  相似文献   
3.
The problem of determination to weighting coefficient is a key and difficulty for combination forecast. A method of determining weighting coefficient based on rough set theory is showed in this paper. Determining weighting coefficient is translated into estimating significance of attributes among rough set. A relation data model about combination forecast is established. Knowledge systems are built through making attribute value into eigenvalue. Under data moving, the weighting coefficients of a combination forecast model are computed by analyzing the dependence and significance of forecasting method for the predicted object. The proposed approach overcomes the subjectivity of traditional determination to weighting coefficient, avoids computing linear or nonlinear extremum problem and makes combination forecast more objective. The validity of the proposed approach is verified with a case.  相似文献   
4.
日本稻谷干燥机械化发展研究   总被引:5,自引:0,他引:5  
日本稻谷干燥机械化程度已达到95%以上.在日本,水稻收割后实施产地及时烘干贮藏,大米品质好,米价高出我国10倍.我国稻谷干燥机械化程度低,干燥机械普及率低,直接影响稻谷生产效益和在国际市场的竞争力.借鉴日本成功的稻谷干燥机械化发展经验,推广和普及稻谷干燥设备,是我国农业生产中亟待解决的问题.  相似文献   
5.
采用不同饲粮配方单因子试验设计,以40头长大乐三元杂种猪为素材,在相同条件下,系统对猪的肥育、屠宰性能以及经济效益进行了研究。结果表明,在早稻谷与玉米价比合理前提下,用稻谷型饲粮养猪在技术、生产水平及饲料效率上都是可行的。同时,筛选出二种高产、优质、高效低耗的新型稻谷型饲粮配方Ⅲ、Ⅳ,可供养猪生产中推广应用。本文为合理利用当地饲料资源,促进早稻转化,推动低成本养猪提供了科学依据。  相似文献   
6.
McKay  H.M. 《New Forests》1997,13(1-3):369-399
This paper presents the experimental evidence on the effects of desiccation, low and high temperatures, rough handling, root loss and storage between lifting and planting on plant quality and performance. The review concentrates on the impact of these stresses on outplanting performance; their effect on seedling properties, such as root growth potential and root electrolyte leakage, is also described. Stresses most often happen in combination but there is relatively little information on their interactions. Examples of desiccation plus rough handling, cold storage plus desiccation, frost damage plus freeze storage and the triple stress of desiccation, heating and rough handling are presented. The limited evidence on the cumulative effect of stresses suggests tentatively that damage from rough handling does not accumulate in the same way as damage from desiccation and prolonged storage. Factors affecting stress resistance are briefly reviewed.There are three impediments to producing a critical review of the literature: experimental treatments, particularly of desiccation and rough handling, can rarely be directly compared; the impact of stress treatments can be modified by a large number of factors, and the levels of stress have seldom been quantified in normal forestry practice. The first two problems also make it difficult to formulate general statements concerning critical thresholds for the stresses. However, instruments are now available for measuring and monitoring stresses between lifting and planting and it is, in theory, possible to model the effects of these stresses to take account of the many factors that modify their impact on seedling survival and growth. This offers the possibility of significant improvements in our ability to predict the effect of stresses between lifting and planting on seedling performance.  相似文献   
7.
吴德喜  王佳 《湖南农机》2012,39(3):61+63
双联齿轮就是两个齿轮连成一体,这种双联齿轮在轮系中(变速器)被称为滑移齿轮,一般用于变速箱中主要起换档调速作用。双联齿轮本身的制造精度,对整个机器的工作性能、承载能力及使用寿命都有很大的影响。文章研究双联齿轮加工毛坯件的制造形式。  相似文献   
8.
9.
As the development of knowledge economic , human resource has been the core of the world economic .So searching the reasonable evaluating and managing methods becomes one of the hot issues which have been concerned by people . Traditional evaluating methods of human resource are simple and direct , but they greatly depend on people's subjective judgement and experience . In order to overcome the default , this paper puts forward the method of synthetically evaluation on rough sets, which takes advantage of the rough sets theory, the concept of information entropy and relative analysis to filter the original indexes, then to standardize the importance degree of every index and get the weight of every index. Synthetically valuation model and corresponding arithmetic are summed up. Finally the sample illuminates the validity and feasibility of this method.  相似文献   
10.
粗集-神经网络在农业工程项目评估中的应用   总被引:1,自引:0,他引:1  
该文提出一种基于粗集-神经网络项目评估新方法,该方法应用粗糙集理论对神经网络的输入数据进行预处理,提取其中的关键成分作为网络的输入,提高了神经网络的收敛速度和逼近精度,并以中国农业水利工程项目为背景进行了实例研究,结果表明,建立的模型不仅较公平、合理,而且提高了神经网络模型的学习效率。  相似文献   
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