prediction function的例句大全

Physical condition, attractive body, exercise time weekly, sustained exercise time and general physical self-worth have to social physical anxiety variable prediction function.

身体状况、身体吸引力、每周锻炼次数、持续锻炼时间及身体自我价值感这五个变量分别对社会性体格焦虑各变量有显著的预测作用。

This paper introduces the semantic correlation of nodes and the prediction function. Prediction function can effectively predict hot resources in advance, and copy the hot resources in advance. Then it can place the copy in a more appropriate location by semantic correlation of nodes.

本文通过引入节点的语义特性，并且引入预测函数，能够预先有效地进行预测，对于即将产生的热点资源进行提前复制，同时，把副本放置到更合适的位置。

This article USES the method of literature review and questionnaire method to explore the influence of mental toughness of learning burnout and its relationship with coping styles and self-control, the following conclusions: 1. Mental toughness of learning burnout has significantly negative prediction function. 2.

本文采用文献综述法和问卷法来探讨心理韧性对学习倦怠的影响及其与应对方式和自我控制的关系，得出如下结论：1、心理韧性对学习倦怠有显著的负向预测作用。

And distillation, related factors negatively correlated by multivariate linear stepwise regression analysis, Taiyin, Shaoyin Obsessive-Compulsive, Interpersonal Sensitivity, Depression, Anxiety, sublimation to body of significant factor score prediction function. 3.

相关因素经多元线性逐步回归分析，抑郁、焦虑、强迫症状、人际关系敏感、太阴、少阴因子对网络成瘾得分有显著的预测作用。

For the large error in traditional fatigue life prediction, membership function to the life estimation was introduced in order to form fatigue life estimation method based on fuzzy revised Miner rule.

简要回顾了该领域国内外的研究成果，并分析总结了疲劳理论知识，针对传统疲劳寿命预测误差较大的问题，将隶属函数引入到寿命估算中，形成基于模糊修正Miner法则的疲劳寿命估算方法。

On-line Prediction of Profit Function Based on Dynamic MPLS for Fermentation Process

基于动态MPLS的发酵过程效益函数在线预报

This paper introduces a multi-layered neural network cotton verticillium prediction system, whose hidden units use non-monotonic activation function.

介绍了一种使用非单调函数作为隐层节点的激励函数的前馈多层神经网络模型构造棉花黄萎病预测系统。

And the algorithm is applied to Hermite function approximation, dynamic system identification and Mackey-Glass chaotic time-series prediction to confirm the effectiveness.

进而，通过Hermite函数逼近、非线性动态系统辨识和Mackey-Glass混沌时间序列预测等仿真研究，验证该算法的有效性。

Hydrological Time Series Prediction Using Racial Basis Function Network

水文时间序列预测的径向基函数网络方法

de-noise filter method based on single value decomposition is applied to preprocess traffic volume time series, and a radical basic function neural network is trained for prediction.

对实测交通量采用奇异值分解的滤波方法进行除噪预处理，并通过训练径向基函数网络进行预测。

the radical basis function ( rbf) neural networks are applied for on-line pattern recognition of the gas-lack in welding, in which the input vectors of samples are constructed by the linear prediction coding ( lpc) coefficients of sound signals.

利用线性预测（LPC）模型参数构造径向基函数（RBF）神经网络输入样本空间，对焊接保护气流量不足进行了在线模式识别。

Transfer function-noise model and ARIMA model were used to fit the official data released and compare the prediction results.

方法利用1983～2000年国家有关统计年鉴数据拟合传递函数模型，同时采用求和自回归移动平均模型（ARIMA）进行预测，并比较两者的拟合结果。

In this paper, the application of a sequential learning radial basis function is presented for accurate real-time prediction of hydrometeorological time series.

本文利用序贯学习的径向基函数神经网络对水文气象时间序列进行精确实时预测。

Risk function, which is usually used in engineering seismic hazard analysis and earthquake prediction, and its meaning are analyzed.

同时，对工程地震和地震预报中常见的危险函数所反映的地震特征作了分析。

These indicators are then used to derive indication Kriging coefficient matrix, by which we obtain condi-tional probability distribution function ( cpdf) at each prediction point.

使原始条件数据被转换为由不同门槛值定义的指示数据，利用这些指示数据，建立起指示克立金系数矩阵，从而求得预测点处的概率分布函数值cpdf。

Combining with the acoustic structure coupling and using a weighted residual formulation to deal with the boundary condition, the analytical solution expression of the progressional expanded wave function was obtained, and the prediction analysis solution at mid-low frequency was given.

结合声固耦合关系，利用加权残数法处理边界条件，得出该声压稳态响应的波函数级数展开式，并给出了中低频噪声场的分析预测解。

The function in text organization is reflected in information prediction, while the function in cohesion manifests in cohesion, including addition, adversative, elaboration, emphasis, causal analysis and temporal relationship.

其篇章组篇功能体现在对信息的预示；衔接功能反应在表示添加补充、转折对比，阐述总结，加强语气，因果分析以及时间关系。

Based on the delay time phase reconstruction of the chaotic dynamical system and the nonlinear characterization of the neural networks, the prediction of factual EEG signals were investigated by using the radial basis function neural networks with the adaptive projective learning algorithm.

基于混沌动力学系统相空间的延迟坐标重构及人工神经网络的非线性特性。研究了采用基于自适应投影学习算法的径向基函数网络对实测的EEG信号进行预测。

Three-dimensional structure prediction showed that this protein has spherical structure domain, while the structure of its N terminal make an important function in regulation function.

三级结构预测表明，该蛋白C端为球状结构域，而N端结构对其发挥调控作用起重要作用。

The decision coefficient of abrasion degree and average depth, slope fitting power function equation could reach same as the slope, discharge, which made the abrasion degree prediction accuracy through transport process increase greatly.

用平均水流深度与坡度的幂函数方程可以得到与坡度、流量拟合方程一样的决定系数，使得在坡面流输移过程下泥沙颗粒剥蚀大小预测精度大大增加。