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本文在文［４］的基础上讨论了双重时序ＡＲ（１）－ＭＡ（ｑ）模型的相关结构,在不假定白噪声序列为正态的情况下,证明了安鸿志［２］关于模型的相关结构的猜想是正确的,具体地构造了ＡＲ（１）－ＭＡ（３）模型的相关结构,并与ＡＲＭＡ模型进行了初步的比较,给出了一些抛砖引玉的讨论． 相似文献
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Xia Zhang Lu Zhang Tan Jin Zhi-jun Pan Zhe-ning Chen Qiang Zhang Wei Zhuang 《化学物理学报(中文版)》2017,30(6):811-816
The solvation of carbon dioxide in sea water plays an important role in the carbon circle and the world climate. The salting-out/salting-in mechanism of CO2 in electrolyte solutions still remains elusive at molecule level. The ability of ion salting-out/salting-in CO2 in electrolyte solution follows Hofmeister Series and the change of water mobility induced by salts can be predicted by the viscosity B-coefficients. In this work, the chemical potential of carbon dioxide and the dynamic properties of water in aqueous NaCl, KF and NaClO4 solutions are calculated and analyzed. According to the viscosity B-coefficients, NaClO4 (0.012) should salt out the carbon dioxide relative to in pure water, but the opposite effect is observed for it. Our simulation results suggest that the salting-in effect of NaClO4 is due to the strongly direct anion-CO2 interaction. The inconsistency between Hofmeister Series and the viscosity B-coefficient suggests that it is not always right to indicate whether a salt belongs to salting-in or salting-out just from these properties of the salt solution in the absence of solute. 相似文献
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The stock index is an important indicator to measure stock market fluctuation, with a guiding role for investors’ decision-making, thus being the object of much research. However, the stock market is affected by uncertainty and volatility, making accurate prediction a challenging task. We propose a new stock index forecasting model based on time series decomposition and a hybrid model. Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) decomposes the stock index into a series of Intrinsic Mode Functions (IMFs) with different feature scales and trend term. The Augmented Dickey Fuller (ADF) method judges the stability of each IMFs and trend term. The Autoregressive Moving Average (ARMA) model is used on stationary time series, and a Long Short-Term Memory (LSTM) model extracts abstract features of unstable time series. The predicted results of each time sequence are reconstructed to obtain the final predicted value. Experiments are conducted on four stock index time series, and the results show that the prediction of the proposed model is closer to the real value than that of seven reference models, and has a good quantitative investment reference value. 相似文献
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Jesús Gutirrez-Gutirrez Fernando M. Villar-Rosety Xabier Insausti Marta Zrraga-Rodríguez 《Entropy (Basel, Switzerland)》2022,24(5)
In the era of the Internet of Things, there are many applications where numerous devices are deployed to acquire information and send it to analyse the data and make informed decisions. In these applications, the power consumption and price of the devices are often an issue. In this work, analog coding schemes are considered, so that an ADC is not needed, allowing the size and power consumption of the devices to be reduced. In addition, linear and DFT-based transmission schemes are proposed, so that the complexity of the operations involved is lowered, thus reducing the requirements in terms of processing capacity and the price of the hardware. The proposed schemes are proved to be asymptotically optimal among the linear ones for WSS, MA, AR and ARMA sources. 相似文献
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星载光电跟踪系统连续帧图像快速识别定位算法研究 总被引：1，自引：1，他引：0
为了解决星载光电跟踪系统对连续帧图像快速识别、准确定位的要求.在深入分析连续图像序列特性和星载光电跟踪系统特点的基础上,利用光电跟踪系统转台的角度变化信息,对图像序列进行帧间差值运算以获得目标残差图,并基于残差图和原始图像信息提出了一种新的目标识别定位算法,大大地减小了运算量.结合中值滤波和自适应波门跟踪算法,实现了运动目标的快速跟踪定位.通过对目标实测图像序列的实验,结果证明,该算法具有快速、稳定等优点,能满足星载光电跟踪系统实时图像跟踪的要求. 相似文献
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有限循环群的Fuzzy子群的等价类数 总被引：4，自引：2，他引：2
有限循环群G的F子群可以有无数个．但是．若当两个F子群的水平集构成的集合相等就称其等价的话,那么其等价类数是有限的。通过研究群的合成群列、商群列以及数的因数列和极大因数列找出了有限循环群的极大F子群和F子群的等价类数的求解公式．并给出二者之间的关系式． 相似文献
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The present paper proposes an evolutionary credibility model that describes the joint dynamics of mortality through time in several populations. Instead of modeling the mortality rate levels, the time series of population-specific mortality rate changes, or mortality improvement rates are considered and expressed in terms of correlated time factors, up to an error term. Dynamic random effects ensure the necessary smoothing across time, as well as the learning effect. They also serve to stabilize successive mortality projection outputs, avoiding dramatic changes from one year to the next. Statistical inference is based on maximum likelihood, properly recognizing the random, hidden nature of underlying time factors. Empirical illustrations demonstrate the practical interest of the approach proposed in the present paper. 相似文献