多实例信息交换的演化方法

对实例结构中所蕴含的信息进行了系统的探讨 ,揭示了实例的内涵。更重要的是实例中蕴含的客观物理规律和一般设计规则 ,在新设计时同样有用 ,进行实例结构的信息交换时应该考虑并满足。然后对基于实例的演化设计系统中的演化操作进行了阐述 ,从而提供了一条系统设计的新思路。     

预应力混凝土桥梁伸缩装置的设计

本文结合新的桥梁规范，介绍了影响伸缩量的常见因素和计算公式，并结合实例论述了预应力混凝土桥梁伸缩装置的设计计算。     

基于演化博弈理论的供应链系统长期稳定性分析

针对供应链外部制造商进入供应链以后,双方可能会出现＂违约＂现象。将惩罚措施、违约额外收益以及合作超额收益、收益分摊系数引入到演化博弈矩阵中,并通过演化博弈方法寻找均衡点和鞍点。在此基础上,分别从供应链内外部制造商的角度,分析了不同情况下,双方策略的进化稳定性。研究表明：供应链内外部制造商策略的选择,不仅会受到自身＂违约＂额外收益与合作分摊收益额相对大小的影响,同时也会受到另一方＂违约＂概率大小的影响。     

Modelling exchange rate dynamics new perspectives from the frequency domain

In this paper the dynamics of foreign exchange rates is sought to be studied via new frequency domain techniques. Stationarity properties of the rates are analysed via a unit root test as well as a test based on the evolutionary spectrum. Linearity and Gaussianity are analysed via bispectral tests and compared with the more frequently employed time domain tests, such as the McLeod-Li and Tsay tests. Finally, an evaluation of the out-of-sample forecasting properties for eight methods—Random Walk, ARMA, Bilinear, State dependent model, dynamic linear model, ARCH, GARCH, and Garch-in-mean—is made. The methods used here seem to shed a great deal of light on hitherto neglected aspects of exchange rate dynamics.     

Complexity Management,Democracy and Social Consciousness: Challenges for an Evolutionary Learning Society

Most of the recent approaches to support evolutionary learning communities have offered tools to support agreements on a shared vision. Few have explained how to effectively implement the agreed actions from such a shared vision. From a cybernetic perspective, the present paper explains why the development of structural conditions for democratic involvement is a necessary condition for the effective implementation of evolutionary development at the societal level. It offers insights from cybernetic theory on how to encourage increased participation and social consciousness. Finally, it presents an example of how to design and develop local Agoras, following these criteria. Roger Harnden is an independent researcher.     

Taking Simmel seriously in evolutionary epistemology

Donald T. Campbell outlines an epistemological theory that attempts to be faithful to evolution through natural selection. He takes his position to be consistent with that of Karl R. Popper, whom he credits as the primary advocate of his day for natural selection epistemology. Campbell writes that neither he nor Popper want to give up the goal of objectivity or objective truth, in spite of their evolutionary epistemology. In discussing the conflict between an epistemology based on natural selection and objective truth, Campbell cites an article by the German sociologist and philosopher Georg Simmel entitled ‘On a Connection of Selection Theory to Epistemology’, as presenting the issue in a notably forthright manner.The present essay summarizes Simmel's article, with the purpose of clarifying, in terms that Campbell apparently finds satisfactory, the conflict that Campbell acknowledges between an evolutionary epistemology and ultimate truth; the essay then examines the responses of Campbell and Popper to Simmel's position. While Campbell and Popper acknowledge the work of Simmel, their responses suggest something less than a full consideration of Simmel's position.     

Computational models: a modest role for content

The computational theory of mind construes the mind as an information-processor and cognitive capacities as essentially representational capacities. Proponents of the view (hereafter, ‘computationalists’) claim a central role for representational content in computational models of these capacities. In this paper I argue that the standard view of the role of representational content in computational models is mistaken; I argue that representational content is to be understood as a gloss on the computational characterization of a cognitive process.     

基于经济增长的自主创新演化模型及分析

技术进步与经济增长相互促进的关系使得构建自主创新理论模型成为从宏观层面研究自主创新的重点。文章从索洛模型出发,通过讨论广义的资本范畴对经济增长以及技术进步的影响,剖析自主创新进程中知识的积累以及作用要素,进而构建经济增长视角下的自主创新理论模型,并进一步对模型进行动态分析,最后提出加快我国自主创新进程的建议。     

Visualization techniques in electromagnetic engineering

It briefly describes the techniques of Visualization in Scientific Computation (ViSC). Combining Open GL, a 3D graphic library, we discuss and analyze some visualization techniques in electromagnetic engineering. Supported by the National Nature Science Foundation of China Yan Jingfeng: born in 1974, M. S. graduate student     

基于单隐层前馈神经网络的优化算法

前馈神经网络是神经网络中最常用的函数近似技术。根据普适定理,单隐层前馈神经网络(a single-hidden layer feedforward neural network,SFNN)可以任意接近相应的期望输出。一些研究人员使用遗传算法(genetic algorithms,GAs)探索FNN结构的全局最优解。然而,使用GAs来训练SFNN是相当费时。提出了一种新的SFNN优化算法。该方法是基于凸组合算法(convex combination algorithm,CCA)在隐含层上分析信息数据。事实上,该技术是将分类遗传演算法结合交叉策略的GAs算法。改进方法比GAs算法性能更优,但在进行学习和遗传演算前需要大量预处理工作如将数据分解为二进制代码。同时设置一个新的误差函数量化SFNN性能、获得连接权值最优选项以直接解决非线性优化问题。采用几个计算实验验证改进算法,结果表明改进方法更适合寻找单隐含层SFNN的最优权重。