• 目的放宽经典线性模型中的解释变量线性假定探讨半参数回归分析模型

    Objective To relax linear assumption of explanatory variable in classical linear model and explore semiparametric regression model.

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  • 目的放宽经典线性模型中的多个解释变量线性假定探讨多维样条回归分析模型

    Objective to relax linear assumption of explanatory variables in general linear model and explore more-dimensional spline regression analysis model.

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  • 经典风险模型中,保费收入时间线性函数

    In the classical risk model, the income of insurance premiums is a linear function of time.

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  • 方法 :采用加速试验经典恒温多元线性模型预测有效期

    METHODS Accelerated test classical constant temperature method, and multi-variation linear model were used to estimate shelf life.

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  • 二级模型采用经典平方根模型合,发现杂色曲霉生长速率温度好的线性关系

    The secondary model was based on the classical Square Root equation, which displayed a good linear relationship between the growth rate of Aspergillus versicolor and temperature.

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  • 通过对岩石经典线性效应微观机制研究建立了能够反映岩石的非经典线性时频特征的理论模型

    By studying the mesoscale mechanism of the frequency effect of the non-classical nonlinear behavior, a non-classical nonlinear theory model with frequency effect is established.

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  • 阐述一种新的基于语音线性预测模型经典相关函数基音周期检测算法

    In this paper, a new pitch detection method based on classical autocorrelation function is proposed.

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  • 基于经典线性预测回归模型,引入了模糊因素预测结果的影响,构成了二级模糊因素的多元线性回归

    Based on the classical model of liner regression and considering effects of fuzzy factors on load forecasting, a liner regression method of tow-layer fuzzy factors for load forecasting is established.

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  • 进而深入研究了经典基于偏微分方程后处理方法包括方向扩散,自蛇模型等非线性扩散方程。

    After that we studied several Post-processing models based on PDE of Anisotropic Diffusion, including Directional Diffusion and Self-Snake model.

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  • 工业中的实际系统大多具有线性不确定特性,基于模型经典控制理论现代控制理论难以适用,而采用智能控制方法会取得较好的控制效果

    In Industry, most systems are characterized by nonlinear, uncertainty etc. Thus the control effect of model-based typical control theory and modem control theory is not as good as intelligent control.

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  • 工业中的实际系统大多具有线性不确定特性,基于模型经典控制理论现代控制理论难以适用,而采用智能控制方法会取得较好的控制效果

    In Industry, most systems are characterized by nonlinear, uncertainty etc. Thus the control effect of model-based typical control theory and modem control theory is not as good as intelligent control.

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