Forecast of telephonometry of Xiqing District using chaos time series

The telecommunication industry has marched into telephonometry competition age. In order to forecast telephonometry development, an effective method by using the chaos time series is proposed. And the best estimate method is presented by contrasted with mature and advanced estimate methods as follows： the stochastic forest, stochastic gradient boosting, the support vector and artificial neuron network.     

我国股票市场的混沌探析

运用混沌理论对我国股票市场进行了实证研究 ,结果显示我国股票市场是一个低自由度的混沌系统 ,具有自相似的非线性结构 ,并且这种非线性结构可以用 GARCH( 1 ,1 )模型来拟合。     

How to control a chaotic economy?

An economic system which exhibits chaotic behaviour has been stabilized on various periodic orbits by use of the Ott-Grebogi-Yorke method. This procedure has been recently applied to controlling chaotic phenomena in physical, chemical and biological systems. We adopt this method successfully for Feichtinger's generic model of two competing firms with asymmetrical investment strategies. We show that the application of this control method to the particular economic process considered brings a substantial advantage: one can easily switch from a chaotic trajectory to a regular periodic orbit and simultaneously improve the system's economic properties. Numerical simulations are presented in order to illustrate the effectiveness of the whole procedure.The work was supported by the Alexander von Humboldt-Stiftung and by the Polish National Council (KBN) Grant No 2 P302 038 04.     

一种新的混沌扩频序列产生方法

本文提出了一种新的混沌扩频序列产生方法。该方法基于神经网络的强大学习能力和副近非线性函数能力,应用具有全局最优的ＢＰ改进算法通过训练学习建立起具有混沌性态的优化神经网络模型,利用网络权值调整的灵活性来产生混沌扩频序列。计算机仿真结果表明,该模型产生的混沌扩频序列调整更容易,比基于单一混沌映射能产生更多符合扩频通信要求的扩频序列。     

统合管理的再思考

本文从分割管理弊端与统合管理优势的比较研究中,创造性地提出了统合管理的新概念和主要论点,首次对统合管理的实施要点进行了设计。     

民航灾害的复杂性特征探索

民航灾害作为一种高度复杂的社会现象,它具有非线性、多样性、突发性、随机性、整体性、多变性、统计性和屯规律性等复杂性特征.提出将民航灾害看作一个复杂系统,借助分形理论、混沌理论、人工神经网络等复杂性科学的工具,并结合预警管理方法,对民航灾害的复杂性进行探索,初步构造了民航灾害复杂性研究的理论框架.     

从混沌理论哲学观对旅游学混沌态及学科体系探讨

从混沌理论哲学观,对旅游学混沌态进行了分析,将其分为"前科学阶段"混沌态和"内在随机性"混沌态,认为旅游学的"内在随机性"决定了旅游学多学科、交叉性的特点.从混沌学的"初值敏感性"理论,阐明了旅游研究应以游客为初始路径的观点.根据混沌理论,确定了体验和服务是旅游系统的两个奇异吸引子,并分析了它们之间的联系与区别.从旅游系统动力机制分析,提出了由体验维、服务维、影响维和信息、技术维等4个维度构成的旅游学科体系框架.     

A Nonlinear Model of the Term Structure of Interest Rates

We present an economically motivated two–factor term structure model that generalizes existing stochastic mean term structure models. By allowing a certain parameter to acquire dynamical behavior we extend the two–factor model to obtain a nonlinear three–factor model that is shown, in a deterministic version, to be equivalent to the Lorenz system of differential equations. With reasonable parameter values the model exhibits chaotic behavior. It successfully emulates certain properties of interest rates including cyclical behavior on a business cycle time scale. Estimation and pricing issues are discussed. Standard PCA techniques used to estimate HJM type models are observed to be equivalent to dimensional estimates commonly applied to 'spatial data' in nonlinear systems analysis.
It is concluded that techniques commonly used in the analysis of nonlinear systems may be directly applicable to interest rate models, offering new insights in the development of these models. Tests of nonlinearity in interest rate behavior may need to focus on long cycle times.     

金融市场的分形和混沌研究综述

主流的金融计量理论是以价格的随机游走和收益的正态分布假设为基础的,而时金融市场价格的分形和混沌研究,则从非线性的角度揭示金融价格的波动规律,并对主流金融计量理论提出了争议和挑战.本文对金融市场的分形和混沌研究做了全面综述,并进行了评价和展望.阐述了这些研究的意义,揭示了经济变量和金融市场价格的非线性特征,并对其机制进行了深入分析.不足之处是这些研究还不能很好地应用于实际经济和金融过程,去解决实际的问题.在定价、建模和预测方面还面临很多困难.对金融市场的非线性研究,让我们对现实世界的理解更加深入和精细.但这些研究并不意味着否定传统经济学理论.正是在不同理论的不断争论和互相印证的过程中,推动金融计量理论不断向前发展.     

Ergodic chaos for non‐expansive economic models**

Ergodic chaos is one of the most important concepts in the theory of nonlinear economics. Due to the lack of appropriate sufficient conditions, its reach has not been fully understood. In this paper a sufficient condition for ergodic chaos that covers non‐expansive dynamical systems is examined. By analyzing an endogenous growth model as an example, we discuss the breadth of models in which ergodic chaos can emerge.