道家“天人合一”思想的神话渊源——论混沌神话的本体论意义

道家天人合一观以其本体论研究的深邃、精深对中国文化产生了深远的影响,这种重天道轻人事的天人观是有其神话渊源的,作为道家最高范畴的＂道＂的本质特征早已孕育在古老的混沌神话中,混沌神话对于道家本体论乃至天人观的形成影响至大。     

基于Lorenz衍生的混沌系统参数调节自适应同步

通过结合Lorenz经典系统特征及原理、系统复杂的动力学,衍生出一类新的拓展系统.对该系统在不同参数下复杂的动力学现象进行分析,采用罗斯—霍维兹判别方法验证其正确性和可操作性,采用4阶龙格—库塔方法进行迭代计算,对主从系统的混沌同步进行计算机仿真模拟,实现对该系统混沌现象和参数调节自适应同步的研究.     

Emergency Communication Challenges in Response to Hurricane Katrina: Lessons from the Centers for Disease Control and Prevention

In response to Hurricane Katrina's extensive destruction and related public health threats, the Centers for Disease Control and Prevention (CDC) deployed more than 1,000 staff to its emergency operations center and to affected areas. Among them were members of CDC's Emergency Communication System. This paper describes the strategies and tactics used by health communication specialists during the pre-event, response, and post-event stages to address a range of emergency communication exigencies. It highlights three difficult challenges for CDC communication specialists during Hurricane Katrina: rapid dissemination of health messages; adaptation of health messages for diverse audiences, locations, and circumstances; and phasing of key risk messages during the emergency response.     

仿真蔡氏电路混沌效应的讨论

物理实验中混沌实验是启迪大学生探索自然界非线性动力学的重要途径。传统的混沌实验仪器往往受到场地、设备和操作等条件的局限,不能很好地培养学生分析问题和解决问题能力。结合蔡氏电路原理,阐述如何实现非线性现象中倍周期分岔相图的数值模拟;并指出以上过程中培养学生兴趣、动手能力和创新意识的注意事项,为大学物理实验教学改革提供新思路。     

论邓小平在拨乱反正过程中对毛泽东思想的准确把握

邓小平作为以毛泽东为核心的第一代中央领导集体的重要成员,是较早提出和阐述毛泽东思想的中国共产党人之一,对毛泽东思想有着极其深刻的理解。在拨乱反正过程中,他坚决批判各种损害毛泽东思想的错误倾向,坚持科学地看待和运用毛泽东思想,为维护、恢复和发展毛泽东思想作出了杰出贡献。     

基于数据挖掘的网络流量预测研究

为提高网络流量预测的效率和准确性,提出基于数据挖掘的网络流量动态预测方法。在对网络流量数据进行相空重构的基础上,采用基于神经网络的数据挖掘方法实现流量动态预测。实验表明：这种方法有较好的预测精度,为网络性能异常的预警行为研究奠定良好的基础。     

Hybrid internal model control and proportional control of chaotic dynamical systems

A new chaos control method is proposed to take advantage of chaos or avoid it. The hybrid Internal Model Control and Proportional Control learning scheme are introduced. In order to gain the desired robust performance and ensure the system's stability, Adaptive Momentum Algorithms are also developed. Through properly designing the neural network plant model and neural network controller, the chaotic dynamical systems are controlled while the parameters of the BP neural network are modified. Taking the Lorenz chaotic system as example, the results show that chaotic dynamical systems can be stabilized at the desired orbits by this control strategy.     

Chaotic phenomenon and the maximum predictable time scale of observation series of urban hourly water consumption

The chaotic characteristics and maximum predictable time scale of the observation series of hourly water consumption in Hangzhou were investigated using the advanced algorithm presented here is based on the conventional Wolf's algorithm for the largest Lyapunov exponent. For comparison, the largest Lyapunov exponents of water consumption series with one-hour and 24-hour intervals were calculated respectively. The results indicated that chaotic characteristics obviously exist in the hourly water consumption system; and that observation series with 24-hour interval have longer maximum predictable scale than hourly series. These findings could have significant practical application for better prediction of urban hourly water consumption.     

混沌模型的分析与算法实现

本文主要从基本知识、算法分析和具体编程实现等方面介绍了混沌的著名模型-人口方程，从而阐述了混沌的思想和性质，并简要介绍了混沌与分形的关系。     

混沌——它的内容、方法和意义

混沌的发现使非线性的研究再一次凸显出来,复杂性规律的研究引发了科技界一次新的深刻的革命。在综述了混沌理论的基本概念、特点和规律后,分析了其可能蕴含的哲学意义。