Firstly the prediction problem is tranformed to a machine learning problem , then samples are formed by sliding windows on alarm sequence to train svm , thus the prediction model for a given alarm is established 首先把告警预测问题转化成机器学习问题，然后通过在告警序列上滑动窗口形成样本去训练支持向量机，从而建立对某种特定告警的预测模型。
When prediction with little training sample set and large variable si ? is concerned , this paper abstracts the prime factors from the training sample set , then only inputs the prime factors into ann instead of primary variables 对于多指标小样本预测问题，文中利用主成分分析法对原有指标体系进行处理，提取主成分构成新的指标作为神经网络的输入。
A few laboratory failure experiments might seem to suggest otherwise , but they are conducted on a limited scale and do not replicatethe complex and heterogeneous conditions of the problem in situ 少数几项实验室失败的实验可能看来建议另外的意见，但是他们仅在很有限的标度上进行，根本没有将地震预测问题实际存在的场所的复杂和不致性的状况复制出来。 ”
Abstract ： the paper introduces the method of impact analysis of large - scale park on urban traffic , explores the demand for parking , and a model about the factor for volume from every exit of a park and a traffic assign model 摘要：介绍了大型停车库开发交通影响分析的方法，说明了停车需求预测问题，提出了各出入口进出交通量分担比例以及交通分配模型。
First , the properties of dynamic weighing are described . in order to consider the speed and precision simultaneously , dynamic weighing is resolved through parameter identification based on least square method and forecast 论文首先阐述了动态称重系统的特性，提出为了兼顾系统的快速性和精度，将动态称重作为一个基于最小二称法的参数估计和预测问题来处理。
( 2 ) it analyzes roundly the solution process and characters of classed forecast and ann model , founds model of ann forecast method and comes true relevant arithmetic with matlab toolbox ( 2 )对传统的预测方法和神经网络预测方法的特点、解决预测问题的思路和步骤进行分析，建立了神经网络预测方法模型，用基于matlab神经网络工具箱的方法实现预测模型的相关算法。
With the development of our national electric industry , the management of electrified wire netting is more and more modernized . people pay more attention to the study on electric system load forecasting than ever 随着我国电力事业的发展,电网的管理日趋现代化,电力系统负荷预测问题的研究也越来越引起人们的注意,现已成为现代电力系统运行研究中的重要课题之一。
The fuzzy exponential smoothing model has been used for short - term forecasting with a minimum of collected data or unknown system structure to determine a better extrapolative interval in a fuzzy set for an unknown future trend 摘要模糊指数平滑模式对于资料量稀少或系统结构模糊不清之问题，能求解吻合资料未来趋势的外差模糊预测值，以成功求解未来不确定高的短期预测问题。
2 . rate risks . started from the raising of difficulties in rate risks researching , and aimed at the above , i analyzed the prediction and managing methods of rate risks with the special features of focusing on reality 该问题分析始于利率风险管理难点的提出，之后，针对利率风险管理难点，突出强调实际操作的特点，从跨国公司日常应用角度出发，分别研究了利率的预测问题和管理方法。
In this paper , researches of ooide beach reservoirs prediction has been made by comprehensively analyzing seismic , geological and logging data in this area , and by seismic inversion , seismic attributes researches , avo technique and absorption coefficient inversion 本论文通过综合地震信息、地质、测井资料，从地震反演、地震属性研究、 avo技术、吸收系数反演等多方面入手综合研究鲕滩储层预测问题。
