概率逻辑结果支持度的合成算法

Haenni的概率推理系统在与D-S理论相互转化的过程中进行了投影,从而不可避免地导致一些有价值信息的丢失。为此提出一种新的概率逻辑结果支持度的合成算法来避免信息的丢失。     

Adaptive soft k-nearest-neighbour classifiers

A novel classifier is introduced to overcome the limitations of the k-NN classification systems. It estimates the posterior class probabilities using a local Parzen window estimation with the k-nearest-neighbour prototypes (in the Euclidean sense) to the pattern to classify. A learning algorithm is also presented to reduce the number of data points to store. Experimental results in two hand-written classification problems demonstrate the potential of the proposed classification system.     

Evolving Teams of Predictors with Linear Genetic Programming

This paper applies the evolution of GP teams to different classification and regression problems and compares different methods for combining the outputs of the team programs. These include hybrid approaches where (1) a neural network is used to optimize the weights of programs in a team for a common decision and (2) a realnumbered vector (the representation of evolution strategies) of weights is evolved with each term in parallel. The cooperative team approach results in an improved training and generalization performance compared to the standard GP method. The higher computational overhead of team evolution is counteracted by using a fast variant of linear GP.     

卡通玩具的悦情功能与形象魅力塑造的设计探讨

"悦情"是新时代特征赋予现代玩具的一大主要功能,这一功能对于现代卡通玩具形象设计的标准和方法又提出了新的要求。本文以现代玩具中增长最为迅速的领域——静态卡通玩具形象设计为探讨内容,通过现代卡通玩具的"形象魅力"能给人们带来"悦情"的功能特点,从而提出了现代卡通玩具"形象魅力"塑造的原则——"形神兼备"的观点。并从"表情"、"性格魅力"与"肢体动态"等三个方面来阐述如何达到卡通玩具"形神兼备"的艺术造诣。     

利用客户端脚本实现复合查询的新思路

本文主要针对目前网站上常用的查询系统所存在的某些常见问题而提出了一种新的查询设计思路,这种新的设计思路主要是在客户端利用JavaScript脚本语言对用户设置的查询条件进行预处理,让用户设置的条件以两种形式出现在系统中,一种形式方便方便用户阅读和理解,另一种形式用于真正的数据查询;此外,通过脚本语言将用户设置的查询条件保存于页面上列表中,用户可以随意组合现有的条件形成更为复杂的查询条件;同时用户也可以在列表中随意选择某个条件执行数据查询。     

遗传算法结合蚁群算法电力系统故障浅析

根据蚁群算法与遗传算法的特性,提出了与遗传算法混合的蚁群算法（G3A）：由遗传算法生成初始信息素分布,在蚁群算法寻优中,利用蚁群算法信息素轨迹更新求精确解,保持了遗传算法的全面搜索能力,从而获得在时间效率与精解效率都更优的一种新的启发式方法。     

Multi-objective decision-making methodology to create an optimal design chain partner combination

In today’s highly competitive business environment, many companies adopt the time-to-market strategy to obtain a competitive advantage. To reduce the time and cost of product development and to employ global product development resources, design chain partner evaluation and selection has become a crucial issue. Thus, establishing an optimal design chain partner combination has received significant attention because it has a far-reaching effect on the results of product development. With this perspective, this paper develops an integrated decision-making methodology to assist enterprises as they create an optimal design chain partner combination. First, this study establishes the framework and evaluation models of the criteria for the different roles of design chain partners, including system integration, functional module development and software and component development. Then, this paper applies a weight-restricted DEA (data envelopment analysis) approach to create the models for performance analysis of design chain partners to acquire the performance value of each candidate and select the efficient design chain partners. Moreover, this paper employs the multi-objective performance evaluation model proposed in this paper to analyze the synthesized performance of design chain combinations. Moreover, this research uses a multi-objective genetic algorithm (GA) to search efficiently for the optimal design chain partner combination to minimize product development cost and time and maximize product reliability. Finally, this study employs a derivative new product development project for a digital TV box as a case study to illustrate the efficacy of the proposed methodology.     

基于虚拟实训基地（车间）的工学结合人才培养模式研究

为了寻求适合自身的人才培养模式,分析了当前国内高等职业教育人才培养模式的现状,提出了基于虚拟实训基地（车间）的工学结合人才培养模式;从校内实训基地建设、课程体系与学习领域开发、教学模式和＂双师型＂教师培养等四个方面阐述了该人才培养模式的具体内容和切实可行性。     

基于DSP的光栅分度盘及其光栅信号精细分

对提高光栅的细分准确度进行了研究,提出了一种正切与余切相结合的方法.针对实际光栅信号的不稳定性,利用光栅发讯头输出正切、余切信号峰峰值与直流电平的漂移,自动修正反正切与反余切的查找表格.该方法应用于精密倾光学分读盘测量系统,使细分误差仅与光栅信号第一个采样值和最后一个采样值的精度有关,与测量过程中的光栅信号采样值的误差无关,同时采用DSP处理采样数据,速度更快,并成功应用于光栅分读盘系统,精度为2″.     

基于DSmT的机载目标断续航迹关联

针对机载目标跟踪中常见的目标航迹断续问题,将多传感器获得的目标属性与状态等多特征信息相结合,建立中断前后各航迹段组合的关联统计量,以各特征关联度为证据并基于DSm理论进行合成,根据识别结果对同一目标中断前后的航迹段进行关联,提高航迹连续性并降低战场态势复杂度。仿真结果表明了该方法的有效性与可行性。