• This article introduces an algorithm of interpolation, which is based on the absolute error of pixel in color.

    介绍了一种基于像素点的颜色绝对误差的图像插值算法。

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  • As the name suggests, the mean absolute error is an average of the absolute errors, where is the prediction and the true value.

    顾名思义,平均绝对误差是绝对误差的平均值,其中fi是预测值而yi是实际值。

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  • The absolute error is no more than 3 sampling points, so it has more advantages compared with the traditional methods to judge the start point of reflect wave.

    结果表明采用曲线拟合法能使测距绝对误差在3个采样点以内,与传统的反射波起始点确定方法相比有较大优势。

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  • The experiment shows that the absolute error of the reading approach is zero, which is applicable to automatic tracking reading of high-precision meter very well.

    实验表明:该读数方法绝对误差为零,非常适合于高精度指针式仪表自动跟踪判读。

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  • The absolute error caused by the improper installation and adjustment of hydraulicdynamometers is described, and the measures to eliminate the error are suggested.

    本文对试验机因安装、调试不正确引起的示值误差作了较全面阐述,提出了减小误差的方法。

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  • The relative and absolute error equations of closures are deduced, which can be the reference of tracing ray quantities for solving the radiation transfer coefficient.

    推导封闭腔内辐射传递系数的相对和绝对误差公式,为求解辐射传递系数所需追踪射线数量提供参考依据。

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  • The average value of absolute error is 2.05% and the biggest error is 5.12% in the model of loom efficiency. The results indicate that ANN model has high forecast precision.

    对于织机效率模型,预报误差绝对值的平均为2.05%,最大误差为5.12%,可知模型具有较高的预报精度,人工神经网络对此模型的预报可行有效。

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  • Some data were chosen to train the network model. The results show that the convergence rate was faster, the model had higher accuracy, the average absolute error can reach 0.002 7%.

    对现场收集的数据进行仿真学习,结果表明,该预测模型收敛速度快,具有较高的预测精度,平均绝对误差可达到0.002 7%。

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  • Results show that the RBFNN is obviously superior to the traditional linear model, and its MAE (mean absolute error) and RMSE (root mean square error) are 41.8 and 55.7, respectively.

    结果显示,该模型预测效果明显优于传统的线性自回归预测模型,各月平均的平均绝对误差(MAE)和均方误差(RMSE)达到41.8和55.7。

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  • This paper introduces two methods: Absolute Error method and Relative Error method, which are used to determine the proper sample size in Monte Carlo simulation.

    介绍了蒙特卡罗模拟应用中两种判断模拟样本量的方法——绝对偏差方法和相对偏差方法。

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  • This paper introduces two methods: Absolute Error method and Relative Error method, which are used to determine the proper sample size in Monte Carlo simulation.

    介绍了蒙特卡罗模拟应用中两种判断模拟样本量的方法——绝对偏差方法和相对偏差方法。

    youdao

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