线性外推法

  • 网络linear extrapolation
线性外推法线性外推法
  1. 基于此,本文提出了在线超短期负荷预测,并建立了两种超短期负荷预测模型:一种是基于线性外推法的超短期负荷预测:一种是基于BP网络的超短期负荷预测。

    In this paper , two models of online super short-time load forecasting are proposed . One is based on the linear extrapolation , the other on the BP .

  2. 从而得出在井架大钩较小载荷作用下,通过测量井架顶部z向位移及测试井架主要杆件的应力[1],以线性外推法进行井架安全承载能力评定是可行的。

    So we can conclude that measuring Z directional displacement on derrick top or testing the main elements stress by exerting a small load on derrick hook and using the linear extrapolation method to evaluate the safety resisting capacity of derrick is practicable .

  3. 本文利用p-n结反向扩散电流的温度特性和借助于线性外推法,提出了一种确定绝对零度时禁带宽度的新方法。

    Using temperature characteristics obtained from the reverse diffusion current of p-n junction and by means of linear extrapolation , a new method for determination of the energy gap at OK is presented .

  4. 利用此反应,本文提出用线性外推法同时测定Pr、Er混合物中的单一稀土,推导了测量方程,用线性外推法测量了5个Pr、Er混合物试样,方法准确度约为5%。

    A linear extrapolation method is proved for simultaneous determination of Pr and Er in their mixture using this reaction . The determination equation is deduced . Five samples of Pr and Er mixture have been determined by the linear extrapolation method with accuracy of about 5 % .

  5. 主要介绍了适于辽宁电网短期负荷预测的基本方法&线性外推法。

    The short term load forecast basic method adapting Liaoning power metwork & linear extrapolation method is introduced chiefly .

  6. 并建立了三种超短期负荷预测模型:基于日周期多点外推法的超短期负荷预测模型、基于线性外推法的超短期负荷预测模型;

    In this paper , three models of super short-term load forecasting are proposed : multi-sample extrapolation ; linear extrapolation ;

  7. 本文不但把它推广到了三维情况,而且提出了一种新的、具有较高精度的、用以处理在边界上电场法向量的方法,以代替通常的线性外推法。

    Instead of the usual linear extrapolation , a new way with high accuracy is proposed for treating the boundary condition for the normal component of the electrical field .

  8. 首先采用补偿模糊神经网络求出峰、谷负荷,然后利用线性外推法求出未来1日中24个时刻的负荷值。

    At first the peak load and valley load are obtained by compensated fuzzy neural network , then 24 hourly load values of the next day are solved by linear extrapolated method .