in this paper we proposed a new algorithm, which called sliding window wavelet binary tree ( swbt), and it can detect and analyze the network anomalies. using swbt and arx model, we can model and forecast network traffic.

this paper presents a new nonlinear composite forecasting method for exchange rate modeling and forecasting based on support vector machines regression. furthermore, the problems how to select the kernel function, loss function and control capacity, and so on, are discussed with simulation demonstration.

本文提出了一种基于支持向量机回归（SVM）的汇率非线性组合建模与预测新方法，并讨论了建模中SVM核函数、损失函数的选取和容量控制等问题。

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as combining forecasts are more accurate than individual ones, this paper presents a new method to set up nonlinear composite and forecast the special treatment ( st) for listed firm based on fuzzy neural network, and gives the corresponding composite learning algorithm.

针对组合预测比单项预测具有更高的预测精度，本文提出了一种基于模糊神经网络的上市公司被ST的非线性组合建模与预测新方法，并给出了相应的混合学习算法。

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a separating feature selection approach concerning the combination of svms ( support vector machine) is proposed, whose basic idea is to execute feature selection on each svm in the combination and use the different selected feature subsets as the inputs.

文章提出了一种针对SVM组合技术的拆分特征选择方法，其主要思想是对SVM组合中的各个分类器分别进行特征选择，再采用不同的特征子集作为各子分类器的输入，进行组合建模与预测。

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a new model of integrating artificial neural network ( ann) with auto regressive moving average ( arma) is studied to handle existing problems of forecasting methods of product consumption based on non-stationary time series.

针对基于非平稳时序的产品需求量预测方法存在的问题，研究了人工神经网络（ANN）与自回归滑动平均（ARMA）模型的集成建模与预测方法。

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ls-svm model is used to mode and predict the gdp in the macroeconomic model. the ls-svm model parameters is optimized by using multi-scale chaotic genetic optimization.

运用LS-SVM模型进行宏观经济模型（以GDP为目标）的建模与预测，同时，利用改进的多尺度混沌遗传优化算法对LS-SVM模型的参数进行优化。

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third, the grey system model gm ( 1,1) and garch model can respectively be used to predict for stock price and volatility.

然而深市对沪市存在着正的波动性溢出效应，其效果要小于沪市对深市的溢出效应。灰色系统模型和GARCH模型均分别能够成功地用于对我国股市的价格和波动性的建模与预测。

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gep-based automatic modeling and prediction for the third industry of national economy

国民经济第三产业发展的GEP演化建模与预测

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modeling and predication of self-exciting point process and inhomogeneous poisson process used in broken wires counting number process of wire rope

自激过程与非齐次Poisson过程用于钢丝绳断丝计数过程的建模与预测

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application of riccati equations in linear course error model and prediction of electromagnetic controlled gyrocompass

Riccati方程在电罗经直航向误差建模与预测中的应用

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modeling and predicting solder joint shapes of ball grid array

球栅阵列（BGA）器件焊点形态成形建模与预测

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time series analysis and forecast model of annual gdp of china based on box-jenkins methods

基于Box-Jenkins方法的中国年度GDP时间序列分析建模与预测

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and then a forecast about liquidity is done by arma model.

第三节则利用ARMA模型对流动性指标进行了建模与预测，并评价了预测效果。

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modeling and prediction of externally prestressed concrete beam shear strength based on radial basis function neutral network

基于RBF神经网络对体外预应力梁抗剪强度的建模与预测

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research on voip traffics modeling and prediction at application layer in metro area network

城域网应用层VoIP流量的建模与预测研究

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nonlinear temperature modeling and prediction of pemfc based on system identification

基于系统辨识的PEMFC温度非线性建模与预测

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model building and predictions of ar model

AR模型的建模与预测

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modeling and prediction of vbr video traffic in broadband ip networks

宽带IP网中VBR视频流量的建模与预测

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bp neural network has the function of approach of any non-linear mapping through learning, bp neural network applying to non-linear systems modeling and forecasting has obvious advantages.

BP神经网络具有通过学习逼近任意非线性影射的能力，将BP神经网络应用于非线性系统的建模与预测中具有明显的优越性。

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arima time series modeling and forecasting of month-average-rainfall in shenyang

沈阳地区月平均降雨量的ARIMA时序建模与预测

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in this paper, the method of historical studies as the core, the integrated use of the theory of tourism research.

本文以历史学研究方法为核心，综合运用旅游学理论开展研究。

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