A real-time road pricing system: The case of a two-link parallel network

A real-time road pricing system in the case of a two-link parallel network is proposed in this paper. The system that is based on a combination of Dynamic Programming and Neural Networks makes “on-line” decisions about road toll values. In the first phase of the proposed model, the best road toll sequences during certain time period are calculated off-line for many different patterns of vehicle arrivals. These toll sequences are computed using Dynamic Programming approach. In the second phase, learning from vehicle arrival patterns and the corresponding optimal toll sequences, neural network is trained. The results obtained during on-line tests are close to the best solution obtained off-line assuming that the arrival pattern is known.     

复参数最大熵图像重建的剑桥算法

本文将正实参数的最大熵图像重建的剑桥算法推广到复参数，此算法能较好的地恢复复参数“图像”。文中还给出了此算法在逆散射成像中应用的计算机模拟实验结果。     

利用最小熵法预测高频拓宽频带

本根据最小熵观点给出了预测高频成分拓宽频带的方法，实际效果表明，该方法是一种拓宽频带的有效方法。     

一种基于神经网络的模糊推理方法

对于Zadeh的模糊关系合成法则（简称CRI方法），选择一个适宜蕴涵关系矩阵是至关重要的。通常蕴涵关系矩阵的元素值是通过一个所构造的数学表达式计算的，或是由领域专家凭经验直接给出。然而，有时，特别是对于后一种情形，CRI法不能满足模糊推理最基本的一致性要求。文章构造了一个神经网络用于模糊推理，新方法不仅是CRI方法的推广，而且远比CRI方法易于满足推理的一致性要求。得益于神经网络的长处，新方法具有灵活性、可调性。文章给出了权值的具取值法。     

关于Vague集的模糊熵及其构造

本文分析了Vague集的性质,给出了将Vague集变换为Fuzzy集的转换函数,并讨论了其性质。分析了关于Vague集的模糊熵的直观特性,在此基础上我们给出了Vague集的模糊熵的定义。最后给出了一个关于Vague集的模糊熵的构造方法。     

A Unified View on Clustering Binary Data

Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This paper studies the problem of clustering binary data. Binary data have been occupying a special place in the domain of data analysis. A unified view of binary data clustering is presented by examining the connections among various clustering criteria. Experimental studies are conducted to empirically verify the relationships.     

模糊综合评价技术在住宅综合性能评估中的应用研究

依据《商品住宅性能评定方法和指标体系》正确地对商品住宅地性能进行评价 ,是评定商品住宅质量等级的重要依据。本文主要论述如何运用数学方法分析和处理住宅综合质量评定中大量存在的模糊问题以及如何建立相应的等级评价准则和进行等级评判     

MAXIMUM ENTROPY DECONVOLUTION OF XPS PEAK

Necessity of XPS spectrum,deconvolution,disadvantages of the traditional Fast Fourier Tranderm decon-volution method(FFT),princtple,method and advantage ofMaximum Entropy Deconvolution Method (MEM) are de-scribed.Criteria for determing the number of data points sam-pled in MEM are the main point disccussed in the paper,someXPS deconvolution applications of our MEM software showthat the MEM makes XPS deconvolution much easier than thetraditional FFT method.     

基于熵权的料场方案模糊多属性优选研究

砂石料场方案选择中存在着许多难以精确度量的模糊性因素，常规的平衡法、系统分析法很难对此进行有效的处理。将模糊数学理论应用于砂石料场的方案选择，提出了熵权与模糊理论相结合的砂石料场方案优选方法，重点对标准化属性矩阵的产生、主客观权重结合得到综合权重及相对接近度的计算等几个方面进行了说明，并通过实例验证了该方法的可行性与实用性。     

模式识别催化剂生产调优

本文介绍如何将模式识别应用于生产调优,着重讨论了多指标(优化目标)因素的分级,提出了用模糊综合评价度量和依有序聚类最小损失函数准则划类,并相继进行变量与样本筛选、信息压缩、特征提取和模拟仿真获得优区操作条件,实施效果显著。