The induced generalized OWA operator

We present the induced generalized ordered weighted averaging (IGOWA) operator. It is a new aggregation operator that generalizes the OWA operator, including the main characteristics of both the generalized OWA and the induced OWA operator. This operator uses generalized means and order-inducing variables in the reordering process. It provides a very general formulation that includes as special cases a wide range of aggregation operators, including all the particular cases of the IOWA and the GOWA operator, the induced ordered weighted geometric (IOWG) operator and the induced ordered weighted quadratic averaging (IOWQA) operator. We further generalize the IGOWA operator via quasi-arithmetic means. The result is the Quasi-IOWA operator. Finally, we present a numerical example to illustrate the new approach in a financial decision-making problem.     

On the dispersion measure of OWA operators

We describe some basic features of the OWA operator. We turn to the problem of determining the weights associated with this operator and particularly the maximal dispersion (entropy) approach. We consider the possibility of using minimization of dispersion. After discussing concerns with both maximization and minimization of dispersion we investigate the possibility of finding an optimal solution intermediate to these extremes. We next consider alternative measures of dispersion. We introduce a fundamental requirement for a measure of dispersion called the Preference for Equal Division. A number of general classes of dispersion measures are provided notable among these are those based on t-norm and t-conorm operators.     

Global asymptotic stability of delayed neural networks with discontinuous neuron activations

This paper investigates a class of delayed neural networks whose neuron activations are modeled by discontinuous functions. By utilizing the Leray–Schauder fixed point theorem of multivalued version, the properties of M-matrix and generalized Lyapunov approach, we present some sufficient conditions to ensure the existence and global asymptotic stability of the state equilibrium point. Furthermore, the global convergence of the output solutions are also discussed. The assumptive conditions imposed on activation functions are allowed to be unbounded and nonmonotonic, which are less restrictive than previews works on the discontinuous or continuous neural networks. Hence, we improve and extend some existing results of other researchers. Finally, one numerical example is given to illustrate the effectiveness of the criteria proposed in this paper.     

基于单神经元自适应PSD算法的分布式智能灯光控制

针对已有灯光控制算法无法应对系统模型变化的问题,提出将单神经元自适应PSD（proportion sum differential）算法应用于分布式智能灯光控制。利用单神经元自适应PSD算法的自学习能力,控制器根据系统误差实时修改参数,并与无线传感器/执行器网络中的分簇机制相结合,形成了一套完整的自适应分布式智能灯光控制算法。并以基于无线传感器/执行器网络的灯光控制实验平台为被控对象,设计控制器并进行了仿真研究。仿真实验表明,当系统模型发生改变,与已有的分布式PID灯光控制算法相比,本文的控制算法具有更好的控制效果、鲁棒性更强。     

结合OWA算子和模糊DEMATEL的风险评估方法

针对传统故障模式与影响分析(FMEA)方法在实际应用中的不足,提出一种基于有序加权平均(OWA)算子和决策试行与评价实验法(DEMATEL)的风险排序方法。FMEA专家对故障模式的3个风险因子给出模糊评价信息,应用OWA算子对评估信息进行集结,得到各故障原因对故障模式的影响强度。采用模糊DEMATEL法构建FMEA系统要素间的初始直接影响矩阵,经过运算可得综合影响矩阵,并计算各故障原因的原因度,据此进行产品或系统的失效风险评估。运用该方法对地铁车门系统的基础部件进行安全性分析,并将所得结果与传统RPN方法的结果做对比,验证了该方法的可行性和有效性。     

基函数可递归的泛函神经元网络学习算法

将泛函神经元结构做了一个变形,给出了一种基函数可递归的泛函神经元网络学习算法,该算法借助于矩阵伪逆递归求解方法,完成对泛函神经元网络基函数的自适应调整,最终实现泛函网络结构和参数共同的最优求解。数值仿真实验结果表明,该算法具有自适应性、鲁棒性和较高的收敛精度,将在实时在线辨识中有着广泛的应用。     

近线性神经和元非线性神经元

人工神经网络(ANN)中普遍采用的神经元模型具有单调有界的I／O特性,该文称其为近线性神经元(ALN,approximate－linear neuron),ALN既简化了网络的复杂性,也是限制ANN能力的一个瓶径.通过比较Hopfield神经网络的稳定性和Conway生命游戏的复杂行为,该文提出非线性神经元(NLN,non－linear neuron)的概念,其I／O特性是完全非线性的.ALN可以进一步提高ANN的非线性,从而增强它的功能,余数制神经网络是一个例子.     

平板玻璃实时智能自动化系统的应用

目前国内有关智能自动化技术的应用比较少。因此 ,介绍平板玻璃智能自动化系统的原理 ,并结合浮法玻璃的生产工艺进一步介绍了此系统在玻璃生产过程的具体应用 ,旨在为智能自动化技术在玻璃生产中推广应用而抛砖引玉     

一个具有拟神经组织的边缘检测模型

基于视皮层简单细胞的Gabor函数模型,仿照视皮层的朝向柱结构,并辅以模式增 强和处理网络,构造了一个具有拟神经组织的边缘检测模型.模拟结果显示,其检测能力与 平滑-空间导数型边缘检测算法相当.分析表明,这个基于早期边缘检测器概念的模型与平 滑-空间导数型算法在检测机理上是一致的.模型为用光学-电子方法和人工神经网络实现 边缘检测提供了一个原型.     

Exchange 2000 Workflow在办公自动化系统信息流转中的应用

办公自动化使企业大大节省了公文的处理速度,提高了工作效率,这与信息流转是分不开的。本文主要阐述了Exchange 2000 Workflow工作流在信息流转中的应用,提出了一种基于Exchange 2000的信息流转解方案,可以方便、快捷的构建中小企业的办公自动化系统。