forecasting ['fɔ:kɑ:stiŋ]

forecasting的基本解释

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[变形] forecast的现在分词

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预测

forecasting的同义词

v. forecast · calculate

与forecasting相关的网络例句 [注：此内容来源于网络，仅供参考]

According to the features of load forecasting of small region,a decoupling mechanism based error analysis model and corresponding forecasting mechanism are proposed in which the short-term load forecasting is divided into two parts,namely load level forecasting and per unit curve forecasting.

针对小地区短期负荷预测的特点，提出了基于解耦机制的误差分析模型和预测机制，将短期负荷预测分为负荷水平预测和标幺曲线预测两部分。

The paper summarizes theories and practices concerning data mining at the beginning. According to actual conditions of data forecasting, the paper particularizes two basic tasks in data mining, namely, exploring data analysis and forecasting modeling for classification, and employs them in load forecasting practically. Then a special short-term load-forecasting arithmetic is forwarded based on the former work, which can efficiently take into account weather effects on the load, and hence improve the accuracy of load forecasting.

本文概述了数据挖掘技术的有关内容；并针对负荷预测的实际情况，详细介绍了数据挖掘中的两个基本任务：探索性数据分析和用于分类的预测建模，并将其运用于负荷预测之中；根据所得结果提出了一种基于数据挖掘的短期负荷预测算法，该算法能够有效的考虑气象因素对负荷的影响，从而提高了负荷预测的精度。

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。

与forecasting相关的网络解释 [注：此内容来源于网络，仅供参考]

Forecasting：预测

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Forecasting：预报

在国际上,有地震学家把不符合上述定义的"预测"等统称为"预报"(forecasting),例如对在一段长时期内的某一不确定的时间发生地震的概率做出估计就应叫作地震预报.

Forecasting：预测学

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Forecasting：(劳动力供求)预测

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Long-term forecasting：长期预报

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