Information-Theoretic Competitive Learning with Inverse Euclidean Distance Output Units

In this paper, we propose a new information theoretic competitive learning method. We first construct a learning method in single-layered networks, and then we extend it to supervised multi-layered networks. Competitive unit outputs are computed by the inverse of Euclidean distance between input patterns and connection weights. As distance is smaller, competitive unit outputs are stronger. In realizing competition, neither the winner-take-all algorithm nor the lateral inhibition is used. Instead, the new method is based upon mutual information maximization between input patterns and competitive units. In maximizing mutual information, the entropy of competitive units is increased as much as possible. This means that all competitive units must equally be used in our framework. Thus, no under-utilized neurons or dead neurons are generated. When using multi-layered networks, we can improve noise-tolerance performance by unifying information maximization and minimization. We applied our method with single-layered networks to a simple artificial data problem and an actual road classification problem. In both cases, experimental results confirmed that the new method can produce the final solutions almost independently of initial conditions, and classification performance is significantly improved. Then, we used multi-layered networks, and applied them to a character recognition problem and a political data analysis. In these problem, we could show that noise-tolerance performance was improved by decreasing information content on input patterns to certain points.     

企业文化建设与实践研究——以湖北白莲河抽水蓄能有限公司为例

在白莲河抽水蓄能电站建设中,重视企业文化建设来提高员工综合素质和凝聚力,促使企业各种要素和谐发展,取得了高的效益。     

野草猴群算法的传感器优化布置方法研究

简易猴群算法存在初始化分布随机、爬步长固定、优秀猴子特征信息不能传承等缺陷,使算法求解性能受限。为解决以上问题,提出了一种用于传感器优化布置的野草猴群算法。该算法利用正态分布方法提高初始种群的多样性;采取自适应爬步长提升求解速度和搜索精度;融入野草繁殖进化和竞争排斥机制,扩大后代种群繁殖中优秀猴子的影响范围。以常用的模态置信度矩阵为传感器优化布置的目标函数,配置传感器的布置位置。以常用的8个测试函数和3个常用算法对其进行分析,验证了算法的可行性和有效性。最后以糊底机涂胶机构为例,进行传感器优化布置方案选择。实验结果表明,野草猴群算法的求解精度较简易猴群算法有大幅提高。     

服务规则约束下B2C平台企业竞争策略

基于服务规则约束机制的策略已成为B2C电子商务平台获取竞争优势重要手段之一。在双边市场理论模型基础上,分别建立了垄断和寡头竞争情形的B2C平台Hotelling竞争模型,比较分析了买方多归属卖方单归属和买卖双方多归属情形下竞争性B2C平台服务规则约束机制的最优策略。通过研究发现,垄断B2C平台下,平台企业和卖方企业都没有提高服务规则约束力度的意愿;在买方多归属卖方单归属时,卖方企业运作和维护服务规则约束机制更能提高用户体验和提高B2C平台绩效;在买卖双方多归属时,平台企业运作和维护服务规则约束机制更为有利。     

Fuzzy Identification of Nonlinear Systems via Orthogonal Transform

This paper is concerned with the application of orthogonal transforms and fuzzy competitive learning to extract fuzzy rules from data. The least square algorithm with orthogonal transforms is proposed to supervise the progress of fuzzy competitive learning. First of all, competitive learning takes place in the product space of system inputs and outputs and each cluster corresponds to a fuzzy IF–THEN rule. The fuzzy relation matrix, confirmed by fuzzy competitive learning, is studied by the orthogonal least square algorithm. The validity of fuzzy rules is obtained by analyzing the effect of orthogonal vectors in the fuzzy model, and subsequently removing less important ones. The structure identification and parameter identification of the fuzzy model are simultaneously confirmed in the proposed algorithm. Using simulation results as an example, the fuzzy model of non‐linear systems can be built by using the proposed algorithm. Copyright © 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society     

砷酸根及铬酸根在低聚合羟基铁-蒙脱石复合体表面的竞争吸附

在模拟氧化及酸性土壤条件下,用制备的低聚合羟基铁-蒙脱石复合体进行了砷酸根、铬酸根离子的竞争吸附实验,研究了砷酸根离子和铬酸根离子不同用量及不同添加顺序对竞争吸附的影响,并与蒙脱石和含水氧化铁进行了对比。结果表明,低聚合羟基铁-蒙脱石复合体对砷酸根及铬酸根离子有不同的吸附能力,但在实验条件下砷酸根及铬酸根离子在低聚合羟基铁-蒙脱石复合体表面不发生竞争吸附。砷酸根和铬酸根的吸附顺序对其吸附量有一定的影响。竞争吸附实验的砷酸根、铬酸根吸附量均高于对其单阴离子的吸附量,此现象在复合体表面最为明显,说明复合体具有独特的阴离子吸附性能。

     

基于Moran过程的竞争性舆情信息的网络传播博弈模型

新的媒体环境下,在享受不同形式在线社交网络提供便捷信息互动渠道的同时,需要加强对信息传播的管理与引导,防止其发展成为负面舆情信息肆意滋生的温床。结合传统演化博弈论与复杂网络理论,提出了竞争性舆情信息的网络传播博弈模型,并理论分析了正面舆情信息传播占优的收益条件及群体规模;随后,结合实际案例,通过仿真实验对比分析三种博弈环境下网络舆情的演化特征。三种博弈环境下,正面舆情信息传播策略占优条件均与收益有关,弱选择情境对收益参数的要求最为严格;强、弱选择情景下策略占优的条件还与群体规模有关,且强选择情景对群体规模的要求更为严格。     

基于模式竞争度的完全欺骗问题分析

对一类完全欺骗问题求解过程中模式的竞争状况进行分析,给出欺骗吸引子的竞争度公式,说明欺骗吸引子的任意阶关联模式相对它的主竞争模式都具有竞争优势。针对完全欺骗性比率在度量完全欺骗问题模式欺骗程度时存在的弊端,利用模式竞争度,给出一阶主欺骗度的度量方法,通过典型的完全欺骗函数验证了该度量方式的合理性。并根据完全欺骗问题模式欺骗程度的不同,定义了强完全欺骗问题。     

Competitive adsorption of fibronectin and albumin on hydroxyapatite nanocrystals

Competitive adsorption of two-component solutions containing fibronectin (Fn) and albumin (Ab) on hydroxyapatite (HAp) nanocrystals was analyzed in situ using the quartz crystal microbalance with dissipation (QCM-D) technique. Adsorption of the one-component protein (Fn or Ab) and the two-component proteins adjusted to different molar ratios of Fn to Ab at a fixed Fn concentration was investigated. The frequency shift (Δf; Hz) and the dissipation energy shift (ΔD) were measured with the QCM-D technique, and the viscoelastic changes of adlayers were evaluated by the saturated ΔD/Δf value and the Voigt-based viscoelastic model. For the adsorption of the one-component protein, the Fn adlayer showed a larger mass and higher viscoelasticity than the Ab adlayer, indicating the higher affinity of Fn on HAp. For the adsorption of the two-component proteins, the viscoelastic properties of the adlayers became elastic with increase in Ab concentration, whereas the adsorption mass was similar to that of Fn in the one-component solution regardless of the Ab concentration. The specific binding mass of the Ab antibody to the adlayers increased with increase in Ab concentration, whereas that of the Fn antibody decreased. Therefore, Fn preferentially adsorbs on HAp and Ab subsequently interacts with the adlayers, indicating that the interfacial viscoelasticity of the adlayers was dominated by the interaction between Fn and Ab.     

废旧汽车逆向供应链的集成优化分析

为解决现有废旧汽车回收模式中企业优势无法集中而导致的回收成本高的问题,提出了一种价值链集成式回收模式。基于比较优势理论和价值链理论,分别比较分析了传统3种回收模式中制造商、第三方物流企业、专业汽车回收企业和零售商等回收主体企业的优劣势,并且以制造商为主导企业建立逆向物流模式的成本-收益模型,对各主体企业进行成本比较分析,得到各主体企业在逆向供应链中具有相对优势的价值链环节,并将其各自具有相对优势的环节进行集成,构建集成式的逆向供应链模型。最后通过集成式回收模式与传统的回收模式的净收益对比和验证,得出在一定条件下集成式回收模式的净收益较大的结论。