极值理论(evt)正是这样一种方法，它能有效地预测和防范金融极端风险。
Extreme value theory (EVT) is one of the best choices, which can effectively forecast and guard against the financial risk.
最后以极值统计法为例，介绍了其在两类灾害预测中的应用。
Finally as an example, the application of extreme statistics to disaster prediction was introduced.
预测模型对宁波地区沥青层结构物表面的极值温度预佑具有一定的参考价值。
The predicting models has something referential value for forecast the extreme temperature on asphalt overlay structure of Ningbo area.
同时针对神经网络易于陷入局部极值、结构难以确定和泛化能力较差的缺点，引入了能很好解决小样本、非线性和高维数问题的支持向量回归机来进行油气田开发指标的预测；
The method of support vector regression which can well resolve the problem with the insufficient swatch, nonlinear and high dimension is introduction to predict the development index of gas-field.
针对动态模糊神经网络(DFNN)在进行预测应用时容易陷入“局部极值”的缺陷，提出一种改进方案。
An improvement for dynamic fuzzy neural network (DFNN) was presented to avoid its running into the local extreme.
利用包络灰预测模型对大坝监测量的极值进行预测，改变传统对极值的预测方法，使得单一的数值预测变为区间预测。
The grey envelope model is used to predict dam monitoring data, thus, single numerical value prediction is changed to interval prediction.
利用包络灰预测模型对大坝监测量的极值进行预测，改变传统对极值的预测方法，使得单一的数值预测变为区间预测。
The grey envelope model is used to predict dam monitoring data, thus, single numerical value prediction is changed to interval prediction.
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