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prediction相关的网络例句

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与 prediction 相关的网络例句 [注:此内容来源于网络,仅供参考]

First the theory of grey system and of principle grey prediction model is presented.Based on the data of sown areas of farm crops in Hubei Province for 9 years,the GM(1,1) grey prediction model is established and the precision of prediction is higher by checking the result,so the model may be applied to the prediction of sown areas of farm crops in Hubei Province for futural severe years.

中文摘要:首先介绍了灰色系统理论及灰色预测建模原理,以湖北省连续9年的农作物播种面积数据为基础,建立GM(1,1)灰色预测模型,对湖北省未来8年的农作物播种面积进行了预测,并对预测结果进行检验,预测结果精度较高,可以用来对湖北省未来几年的农作物播种面积进行预测。

2Based on the nonlinear theory, we found the reservoir seismic nonlinearprediction and evaluation method technology, it is constituted by three nonlinearmethods and the technologys of the fracture prediction, the seismic inversion and thereservoir synthesis prediction evaluation: The seismic nonlinear prediction ofreservoir fracture is one new method which is composed with the phase spacereconstruction, the nonlinear parameters pick-up technology and the syntheticprediction evaluation method. The reservoir seismic high resolution nonlinearinversion is a new seismic inversion way which the BP algorithm is embeded in theauto-adapted genetic algorithms interior to have the predominances of neural networktechnology and genetic algorithms, it adopts the new embedded GA-BP mixalgorithms and the nonlinear mapping technology, and realizes the inversionautomatically, obtains the high resolution seismic inversion profile. The reservoirseismic nonlinear synthesis prediction and evaluation is a new method which iscombined organically of genetic algorithms and adaptive neural fuzzy inferencesystem, it will optimize the new seismic attribute space which are processed to take the input, uses the new adaptive mix algorithm which GDand LSE(least-square estimation) mix algorithms of ANFIS network insert to the GAinterior and taboo search algorithms is added to the intercrossed operation place,the simulation of the evaluation parameters is used quantitative evaluation guide lineto the reservoir quality and oil-gas distribution.

2基于非线性理论,创建了储层地震非线性预测与评价方法技术,它是由裂缝预测、地震反演和储层综合预测与评价等三大非线性方法与技术组成:储层裂缝地震非线性预测是由相空间重建、非线性参数提取与预测技术及综合评价方法组成的一种新型裂缝预测方法;储层地震高分辨率非线性反演是将BP算法嵌入自适应遗传算法内部所构成的集遗传算法和神经网络技术优势于一体的新的地震反演方法,它采用嵌入式新的混合算法及非线性映射技术,自动实现反演,获得高分辨率地震反演剖面;储层地震非线性综合预测与评价是由遗传算法与自适应神经网络—模糊推理系统有机地相结合而产生的储层预测与评价的新方法,它将优化处理所形成的新地震属性参数空间作为输入,采用将ANFIS网络中的混合算法嵌入到GA算法内部与禁忌搜索算法加在交叉操作处产生新的自适应混合算法,将综合评价参数作为储层品质和含油气性的定量评价指标。

In this paper, different coal face 3801 in a mine gas emission time is based on gray theory of gas emission prediction method, a mine gas emission in GM (1, 1) prediction model made its prediction of gas emission, by making the residual test, the results show that the prediction accuracy can be predicted.

本文以某矿3801采煤工作面不同时间段瓦斯涌出量为依据,运用灰色理论提出了瓦斯涌出量的预测方法,建立了矿井瓦斯涌出量的GM(1 ,1)预测模型,并对其进行了瓦斯涌出量的预测,通过进行残差检验,结果表明预测精度高,可以进行预测。

This method adopts data-based optimization algorithm to design the initial prediction operator and update operator at each decomposition scale, the initial prediction operator and update operator are interpolated with zero, and then the redundant prediction operator and redundant update operator are obtained.

该方法采用基于数据的优化算法,设计每层小波分解的初始预测器和更新器,然后通过对初始预测器和更新器进行插值补零运算,来获得冗余预测器和更新器。

The effective prediction space concept is established, On the base of these, this paper deduces two representations' evaluating equation, one evaluates the prediction error and the other evaluates the prediction error in limited space. First, the error transfer characteristic among subsystems at different space locations is analyzed, and the direct transfer characteristic from discrete standard measure space to the workpiece measure space under measured in measure system is proven. Second, the error reconstruction condition and method of mapping from discrete standard measurement system to continuous standard measurespace are analyzed.

分析了不同空间位置子系统间的误差传递特性,证明了在测量系统中离散标准量值空间向被测量工件量值空间的直接传递性;分析了离散标准量系统向连续量值空间映射的误差重构条件和方法;基于测量样本的有限距离的平稳性,证明了预报模型对动态测量误差的有限收敛性和预报误差的可测度性,进而证明了以离散标准量值系统对被测工件预报修正的可行性和合理性。

And particularly is the discriminatory analysis and Markovian model, their accurate rate of return are more higher than their prediction, this show that their prediction resolutions are unsteady and they have good application value in the prediction of wheat midge.

尤其是判别分析预测法和马尔柯夫链预测法,这两种预测方法的预测准确率和回测准确率相差较大,说明预测效果不稳定,对小麦吸浆虫的预测实际应用价值不大。

The results indicate that the ANN structure and the training sample have some impact on the prediction precision. The real time measured power as input will improve the precision of 30 min ahead prediction, however will decrease the precision of 1h ahead prediction. The results which using the atmospheric data at all different heights as input have a higher accuracy when compared with the results using hub height data only. The designed ANN can forecast the error band.

研究结果表明,神经网络的结构和输入样本对预测结果有一定的影响;实测功率数据作为输入可以提高提前量为30 min的预测精度,而对提前量为1 h的预测精度会降低;把不同高度的数据都作为神经网络的输入比只采用轮毂高度数据的预测精度高;设计的神经网络能够对误差带进行预测。

Owing to the test of fatigue life,possesses a rather big difficulty and its testing data have the characteristics of strong scatterence and if a prediction is made from using grey-forecasting model GM(1,1,thus its prediction value would get a rather big error compared with the real result,This paper hereby put forward a kind of new method to simulate the test.let the data be firstly processed into logarithmic series so as to reduce the scatterence of data,and then carry out the prediction by the use of grey-forecasting model.

由于疲劳寿命试验具有难度较大,其实验数据具有分散性强的特点,如果直接用灰色预测模型(GM(1,1))作预测,其预测值与真实结果的误差较大。在此提出一种试验仿真的新方法。首先将数据处理成对数序列,以降低其数据分散性;然后再用灰色预测模型进行预测。

The statistical simulation analysis method is effective to deal with space- time heterogeneity of earthquakes and risk regions, after 105 count of the va lues of simulating random prediction probability have been got, the objective result s have been got by comparing between the simulation prediction average probabili ty and the practice prediction average probability.

由于统计模拟的方法有效地处理了地震和危险区的时空不均匀性,并且得到经运算105次的统计模拟随机预报概率,将其与实际预报平均概率比较,得到较为客观的结果。

In recent year, it alse is applied in the prediction of plant disease and pest, but there are still no reports on wheat midge prediction. In this paper, ANN was applied in the prediction of wheat midge.

它主要用于模式识别和图像处理,预测和管理等方面,近年来也逐渐开始应用于病虫害预测预报,但在小麦吸浆虫的预测预报却未见报道。

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