预测
- 基本解释 (translations)
- calculate · cast · divination · forecast · forecasting · foreshadowing · prognosis · prognostic · prognosticate · prognostication · prognose · calculates · casts · forecasts · presetting · prognoses · prognosticated · prognosticates · prognosticating · anticipations · projections
- 词组短语
- crystal-ball · dope out · pre-estimate · look-ahead
- 更多网络例句与预测相关的网络例句 [注:此内容来源于网络,仅供参考]
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Among used machine learning methods, the gradient descent method is widely used to train various classifiers, such as Back-propagation neural network and linear text classifier. However, the gradient descent method is easily trapped into a local minimum and slowly converges. Thus, this study presents a gradient forecasting search method based on prediction methods to enhance the performance of the gradient descent method in order to develop a more efficient and precise machine learning method for Web mining.However, a prediction method with few sample data items and precise forecasting ability is a key issue to the gradient forecasting search method. Applying statistic-based prediction methods to implement GFSM is unsuitable because they require a large number of data items to model a prediction model. In the contrast with statistic-based prediction methods, GM(1,1) grey prediction model does not need a large number of data items to build a prediction model, and it has low computational load. However, the original GM(1,1) grey prediction model uses a mathematical hypothesis and approximation to transform a continuous differential equation into a discrete difference equation in order to model a forecasting model.
其中梯度法是一个最常被使用来实现机器学习的方法之一,然而梯度法具有学习速度慢以及容易陷入局部最佳解的缺点,因此,本研究提出一个梯度预测搜寻法则(gradient forecasting search method, GFSM)来改善传统梯度法的缺点,用来提升一些以梯度学习法则为基础的分类器在资讯探勘上的效率与正确性;而一个所需资料量少、计算复杂度低且精确的预测模型是梯度预测搜寻法能否有效进行最佳解搜寻之关键因素,传统统计为基础之预测方法的缺点是需要较大量的数据进行预测,因此计算复杂度高,灰色预测模型具有建模资料少且计算复杂度低等优点,然而灰色预测理论以连续之微分方程式为基础,并且透过一些数学上的假设与近似,将连续之微分方程式转换成离散之差分方程式来对离散型资料进行建模及预测,这样的作法不尽合理,且缺乏数学理论上的完备性,因为在转换过程中已经造成建模上的误差,且建模过程仅考虑相邻的两个资料点关系,无法正确反应数列未来的变化趋势。
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To make occurrence degree prediction, single factor regression algorithms, stepwise regression algorithms, discriminatory analysis, Markovian model, fuzzy mathematics theory and Back propagation neural network algorithms are studied and models are builded.
将筛选出的主要气象因子作为预测因子,分别用单因子回归预测法、逐步回归预测法、判别分析预测法、马尔柯夫链预测法、模糊数学预测法与神经网络预测法建立了关中地区小麦吸浆虫的发生程度的预测模型。
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The speciality to let several coefficients of S-M algorithm are analyzed;(2) We first propose the nonlinear and adaptive prediction model based on several closest neighbors and extend the method to multistep prediction;(3) We first exploit Empirical Mode Decomposition technology to predict hopping frequency codes, it is namely that a complex time series is decomposed as several Intrinsic Mode Functions easy to prediction, then predict these IMF respectively, at last reconstruct estimated values of the time series;(4) We exploit the above prediction model validate effect while there are omitted data in observed time series and propose the corresponding resolve.
1具体分析了S-M算法中几个参数设置的特点;(2)首次提出了基于邻近点的非线性自适应预测模型,同时将这种算法推广到多步预测;(3)首次采用经验模态分解技术预测跳频码,即将一个复杂难以预测的时间序列分解为几个相对容易预测的本征函数,然后分别预测这些本征函数,最后重构出时间序列的估计值;(4)应用基于邻近点的非线性自适应预测模型验证了观测时间序列存在数据缺损时的预测效果,并提出了相应的解决办法。
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The phase space reconstruction theory of chaotic dynamic system, in combination of the non-linear reflecting and pan-capacity of neural network, can be used to establish the prediction model; and a kind of new prediction method is suggested to realize the complete tracing of phase point evolution process and to predict "the price nails", whereby improving the prediction accurateness and effectively solving the problem of negative prediction, with the satisfactory results obtained.
采用混沌理论预测系统边际电价针对我国电力市场电价变化特点,利用电价和负荷时间序列的混沌特性,重构准确的电价序列相空间,通过跟踪相空间相邻相点的演化趋势,建立基于快速BP网络的电价预测模型,对我国川渝电网电价进行预测,取得良好效果利用混沌动力系统的相空间重构理论,结合神经网络的非线性映射和泛化能力建立预测模型,提出一种新的预测方法实现了相点演化过程的全局跟踪,对"价格钉"进行预测,提高了预测精度,有效解决了负预测问题,得到满意的结果。
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The Markov forecast model, time series method (triple exponential smoothing method and a combined of triple exponential smoothing method and Markov model) and stepwise regression forecast method were choosed, and the basic principles and processes of the three models were analyzed and compared. Based on above, the three methods were used to predict population dynamic of Cricetulus barabansis and Meriones unguiculatus. The characteristic, accuracy and applicability of three methods were analysed and compared. The results showed that,(1) Markov model belongs to a middle-long time forecast model, and the result was interval forecast, but it reached the requirement of forecasting the harmful population dynamic of rodents. Through the forecasted population dynamic of Cricetulus barabansis and Meriones unguiculatus in 2004, the results were accurate; this meant that Markov model was a good forecast model to Cricetulus barabansis and Meriones unguiculatus population.
选择马尔可夫链预测模型、时间序列分析法(三次指数平滑法、三次指数平滑法和马尔可夫链预测模型的组合预测法)和逐步回归预测法,对这三种模型的基本原理、模型的构建过程进行对比分析,在此基础上用此三种方法预测了黑线仓鼠和长爪沙鼠的种群数量,并对三种方法的特点、预测的准确度和适用范围进行了比较分析,结果表明:(1)马尔可夫链预测模型属于中长期预测,预测的结果为区间预测,但对于害鼠种群数量的预测来说已经达到要求,通过对2004年黑线仓鼠和长爪沙鼠种群数量的预测,预测的结果都比较准确,这说明对于预测黑线仓鼠和长爪沙鼠种群的数量动态,马尔可夫链模型是比较好的模型。
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Based on sum-up and epurate from the first- and second-round national mineral assessment, new developing in minerogenetic series theory, minerogenetic dynamic theory and multi-information prognosis theory have been used to support and improve the methods for this round national resources strategy planning and prospecting. Working flow scheme and requests have been described in this paper.
通过对中国以往一轮、二轮区划预测方法、全国矿产资源总量预测方法及国外最新预测方法的分析和总结,结合近年来预测理论的新发展,确定了全国重要矿产总量预测的理论基础是成矿系列理论、现代成矿动力学理论和综合信息矿产预测理论,采用的预测思路是矿床模型综合地质信息预测方法。
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Results The sensitivity,specificity,positive predictive value,negative predictive value,Youden index,accuracy ...
结果检测血清特异性IgG的灵敏度为100·0%,特异度为97·7%,阳性预测值为97·2%,阴性预测值为100·0%,约登指数为0·977,符合率为98·7%,试验的一致率为98·5%;检测血清中总的特异性Ig灵敏度为97·1%,特异度为95·3%,阳性预测值为94·4%,阴性预测值为97·6%,约登指数为0·925,符合率为96·2%,试验的一致率为97·8%;检测唾液中特异性sIgA的灵敏度为96·2%,特异度为94·5%,阳性预测值为89·3%,阴性预测值为98·1%,约登指数为0·907,符合率为95·1%,试验的一致率为97·5%;检测粪便标本中的特异性sIgA的灵敏度为92·0%,特异度为90·2%,阳性预测值为85·2%,阴性预测值为94·9%,约登指数为0·822,符合率为90·9%,试验的一致率为98·6%,CV值均小于15%。
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The paper founds GM(1, 1) model of gray prediction theory in order to predict level displacement,and forecast horizontal displacement of 8-8 section of the Olympic Games project with it and compares forecast data and actual data.The result is that GM(1, 1) model may forecast short-term horizontal displacement after the model is proved eligibility. In order to manage long-term horizontal displacement,the paper founds metabolism GM(1, 1) model.At first, founding GM(1,1) model with known data and forecast next numerical value,next renewing founded GM(1,1) model with numerical value at the same time abnegating first data,and then forecast nest numerical value with same method.
本文为了预测土钉支护水平位移,建立了GM(1,1)灰色系统理论预测模型,应用灰色预测法GM(1,1)模型对奥运工程地下通道I标段8-8剖面的土钉支护产生的水平位移进行了预测,并与实测值进行比较,得出灰色预测法模型经检验合格后可以对工程进行水平位移的短期预测;为了使GM(1,1)模型同样适用于长期预测,用新陈代谢的GM(1,1)模型,即根据己知数列来建立GM(1,1)模型,预测一个灰数值,然后不断地将预测值补充到己知数列之后,每补充一个再去掉一个最老的数据构成新的数列,建立一个新的GM(1,1)模型,预测下一个值。
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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。
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the 160 women judoists are tested for mental fatigue and personality tests, and the paper tries to reveal their situation of mental fatigue, personality characteristics, and the relationship between them.it is analyzed that chinese elite judoists have no severe mental fatigue; judoists' negative evaluation on emotional/physical exhaustion and sport increase significantly one week before competition than two months; among personality factors, excitability predicts the decrease of achievement and emotional/physical exhaustion reliably on negative; the stability predicts sport on negative; tension predicts emotional/physical exhaustion on positive; adaption and anxiety in dimension personality predicts in positive both in the decrease of achievement and emotional/physical exhaustion and internal extraversion does them in negative; health personality in applied dimension personality predicts in negative in the decrease of achievement, emotional/physical exhaustion and negative evaluation of sport when mental fatigue, stability and sensitivity predicts the decrease of achievement in negative; only internal extraversion in dimension personality predicts the decrease of achievement and emotional/physical exhaustion in positive.
摘 要:以160名女子柔道运动员为被试,进行运动员心理疲劳以及人格测试,并尝试揭示女子柔道运动员的心理疲劳状况、人格特征以及二者之间的关系。分析得出:我国优秀柔道运动员心理疲劳程度并不严重;运动员在临赛前一个星期较赛前二个月情绪/体力耗竭以及运动的负评价显著提高;人格因素中的兴奋性对成就感的降低以及情绪/体力耗竭两维度均有可靠的负向预测作用;稳定性对运动的负评价维度具有可靠的负向预测作用;紧张性对情绪/体力耗竭有可靠正向预测作用;次元人格中适应与焦虑对成就感的降低以及情绪/体力耗竭均有可靠正向预测作用,内外向性对成就感的降低、情绪/体力耗竭以及运动负评价都有可靠负向预测作用。应用性次元人格中健康者的人格对运动员心理疲劳的对成就感的降低、情绪/体力耗竭以及运动负评价均有可靠的负向预测作用;稳定性、敏感性对临赛前成就感的降低维度的变化有可靠的负向预测作用;次元人格中只有内外向性对临赛前成就感的降低以及情绪/体力耗竭维度的变化有可靠的正向预测作用。
- 更多网络解释与预测相关的网络解释 [注:此内容来源于网络,仅供参考]
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Cash Flow Forecast ):现金流量预测
cash forecast 现金预测 或称现金流量预测(cash flow forecast). 对未来时期现金收入和现金支出所作的 预计.类似现金预算(cash budget),但现 金预算有控制作用, 而现金预测则无控制 作用. cashier 出纳员 对现金出纳和保 管登记负有全部或部 分责任的人员.
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Estimate at Completion:预测最终成本,参见
Forecast At Completion|完工预测 (FAC) | Forecast Final Cost|预测最终成本,参见 Estimate at Completion. | Forecast Remaining Work|预测剩余工作
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sales forecasting:销售预测
销售预测(Sales Forecasting) 什么是销售预测 销售计划的中心任务之一就是销售预测,无论企业的规模大小、销售人员的多少,销售预测影响到包括计划、预算和销售额确定在内的销售管理的各方面工作.
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frost heaving forecast:冻胀预测
预测分析:forecast | 冻胀预测:frost heaving forecast | 预测分析:forecast and analysis
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forecasting software maintenance:预测软件维护
预测库存技术 forecasting inventory technique | 预测软件维护 forecasting software maintenance | 预测理论 forecasting theory
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failure prediction:故障预测,失事预测
economic prediction 经济预测 | failure prediction 故障预测,失事预测 | flood prediction 洪水预报,洪水预估,洪水预测
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predictive control:预测控制
引言预测控制(Predictive Control)是由Richalet等人[1,2]于1978年首次提出的. 近三十年来,预测控制被广泛应用于工业领域,特别是针对复杂的控制对象和多样化的控制要求,具有很好的控制效果. 对于预测控制的理论和方法研究,也始终是控制的热点领域之一. 预测控制理论和方法的
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Unstandardized:复选项:非标准化预测值(点预测)
(1)Predicted Values项:选择输出预测值. | ①Unstandardized复选项:非标准化预测值(点预测). | ②Standardized复选项:标准化预测值(点预测).
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Forecasted statement:预测报表 forecasted statement 预测报表
1696 1 forecast 预测 forecast 预测 | 1697 1 forecasted statement 预测报表 forecasted statement 预测报表 | 1699 1 foreign bill of exchange 外国汇票 foreign bill of exchange 外国汇票
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人口估计和预测科;PEPS;预测科:Population Estimates and Projections Section
Population Education Clearing House;人口教育交流所;POPED; | Population Estimates and Projections Section;人口估计和预测科;PEPS;预测科 | population estimation and projection;人口估计和预测;;