您要查找的是不是:
- Financial time series has high randomicity and nonlinearity.Neural network is quite suitable in the process of financial time series data for its good ability of nonlinear mapping and generalization. 金融时间序列具有很强的随机性和非线性性,而神经网络具有良好的非线性映射能力及自适应、自学习和良好的泛化能力,因此非常适合处理金融时间序列这样的数据。
- Financial Time Series Data 金融时序数据
- Returns predicted future or historical values for time series data. 返回时序数据的将来或历史的预测值。
- Time series data set comes with a temporal ordering. 时间序列数据集伴随着一个时间上的排序。
- In order to provide theory foundation for financial market analysis, prediction and regulation, the author results thoroughly in financial time series by using data mining and wavelet. 本文充分利用数据挖掘和小波理论的优越性能对金融时间序列进行深入研究,从而为金融市场分析、预?y和监管提供理论依据。 主要研究内容如下:
- A time series data set is a sequence of random variables indexed by time. 时间序列数据是以时间为指标的一个随机变量序列。
- Financial time series is composed of bond profit, foreign exchange rate, stock price, futures price, etc. 金融时间序列包括债券、汇率、股票价格和金融期货价格等等。
- Fuzzy neural network with incremental learning ability (FNN-IL) was proposed to predict financial time series. 提出使用一种具有增量学习能力的模糊神经网络(FNN-IL)应用于金融时间序列的预测。
- The outer frequency spectra of wind waves are estimated with the time series data of wave elevation measured in the laboratory wind wave flume. 利用实验室风浪槽内测得的波面序列资料估计风浪外频谱。
- The proposed method is applied to unsteady financial time series symbolization.Experimental result shows that the method is effective. 方法用于对非平稳金融时间序列进行了符号化转换,实验结果表明该方法是有效的。
- Abstract:It’s an important method for profiting and risk-evading to construct financial time series forecasting model. 内容提要:中国股指期货的推出指日可待,交易者多了一种投资工具的同时也带来了新的风险。
- Time series data is continuous and can be stored in a nested table or in a case table. 时序数据是连续的,可以存储在嵌套表或事例表中。
- A new probabilistic function for studying the multi-fractal features on the volatility of variance of financial time series is proposed. 提出了一种新的概率函数计算方法,用于研究金融时间序列在方差波动方面的多重分形特征。
- Objective: Fit the forcast model that suit to the time series data of the Hospitalization Expenses of Injury Children. 摘要目的拟合适合儿童伤害住院费用时间序列资料的预测模型。
- On the basis of constructing the time series data with the same time interval by interpolation met... 计算实例表明,模型具有运算速度快、预测精度高的特点,是一种具有应用前景的软基预测新方法。
- An improved method of support vector machine and its applications to financial time series forecasting Estimate of error bounds in the improved support vector regression. 大型工程对工程机械的正常安全运行提出了更高的要求,因此,现代大型工程机械普遍采用了电子监控与故障自诊断系统。
- Eversince, financial time series analysis is of prevalent interest to theoreticians for making inferences and predictions though it is primarily an empirical discipline. 自从他以后,金融时间序列分析在那些做推论和预测的理论家流行起来,尽管它主要是门经验学科。
- Based on the algorithm of Kolmogorov entropy presented by Grassberger and Procaccia, as the time series data of silicon content in molten iron of No. 本文提出了使用最小二乘支持向量机模型预测高炉铁水硅含量的方法,以山东莱钢1号高炉在线采集数据作为应用案例。
- FNN-IL can automatically learn the knowledge contained in financial time series and track the running procedure of financial time series thus dynamically adjust the rule base. FNN-IL能学习蕴涵在时间序列中的知识,并能跟踪时间序列的运行从而动态调整模糊规则库。
- The results show that the proposed ODP is an effective and feasible technique to extract the features from the hyperdimensional time series data. 同时,以心电信号为例对ODP方法进行测试,结果表明,该方法应用于超高维数据的特征提取是行之有效的。