基于鱼群算法优化BP神经网络的电力客户满意度综合评价方法

首先从形象、期望、对供电质量的感知、对服务质量的感知、价值感知、抱怨、忠诚7个方面建立供电客户满意度测评指标体系,然后分析了BP神经网络与鱼群算法结合的可行性,探讨了鱼群算法优化神经网络的步骤。最后对5个地区2009年供电客户满意度测评数据,在专家打分测评的基础上,运用神经网络及鱼群算法优化神经网络方法进行满意度评价。前者在收敛过程中130次停留在误差值10-1左右,后者在局部最优处仅仅停留10次;在误差值为0.001时,前者经过168次训练后能够达到目标,而后者只需要88次训练就能达到目标。结果表明鱼群算法优化神经网络具有准确、快捷、简易等优点,此方法用于供电客户满意度评价行之有效。     

汽车维修企业顾客满意度测评方法及其应用

对顾客满意度的测量不仅是对企业经营绩效评价的主要内容,也是企业宏观和微观决策的关键依据.本文主要针对汽车维修企业的经营特点,对其顾客满意度测量方法及应用进行了分析和探讨,为汽车维修企业开展顾客满意度测量工作提供一定的依据.     

浅谈工件在夹具中定位的基本原理

工件在夹具中的定位问题,是夹具设计中首先要解决的重要问题.本文以工件定位基准已经选定为前提,进一步分析和讨论工件在夹具中定位的基本原理,为夹具设计的出发点奠定了良好的基础.     

Study and application of time series forecasting based on rough set and Kernel method

A support vector machine time series forecasting model based on rough set data preprocessing was proposed by combining rough set attribute reduction and support vector machine regression algorithm. First, remove the redundant attribute for forecasting from condition attribute by rough set method; then use the minimum condition attribute set obtained after the reduction and the corresponding initial data, reform a new training sample set which only retain the important attributes influencing the forecasting accuracy; study and train the support vector machine with the training sample obtained after reduction, and then input the reformed testing sample set according to the minimum condition attribute and corresponding initial data. The model was tested and the mapping relation was got between the condition attribute and forecasting variable. Eventually, power supply and demand were forecasted in this model. The average absolute error rates of power consumption of the whole society and yearly maximum load are respectively 14.21% and 13.23%. It shows that RS-SVM time series forecasting model has high forecasting accuracy.     

采用耦合电容器的配电线路远程数据采集器的设计

为了更好地解决中压电网的电压数据采集问题,设计了一种基于高压电容器,利用GPRS和PIC单片机实现的远程数据采集系统,通过低成本的电容器采集节点电压,包括相电压和零序电压.提出了中压电网电压信号的转换和滤波方案,并设计了数据采集器的采集程序和系统实现的整体框图.设计方案已在电力设施的监控以及故障定位装置中得到应用,降低了数据采集成本、加快了故障定位及检修速度.经过现场运行检验,证明该系统的硬件和软件设计合理.     

工程技术口译工作经验谈

从从事翻译工作的前提条件、工作准备、职业道德及必备素质等不同方面综合叙述了作者工程技术口译工作的一些经验     

Improved wavelet neural network combined with particle swarm optimization algorithm and its application

1 INTRODUCTIONFor the last decade ,the wavelet neural net-work ( WNN) method was noticed by many re-searchers[1 3].It has been widely appliedin variousaspects such as short term load forecasting[4 ,5].While ,it is prone to cause the curse of di mension-ality with the factors taken into consideration in-creasing , which becomes the bottleneckfor thei m-provement of its application[6 ,7].Inthis study ,a new methodfor opti mizingthestructure of wavelet networks was developed byadopting an p…     

Optimizing neural network forecast by immune algorithm

1 INTRODUCTIONThe forecast of complicated nonlinear relation-ships among multi-factor ti me series can be ex-pressed as a multivariate ti me series analysis ,which si multaneously observes the dynamic processof a group of (multi-di mension) correlative randomvariables as a whole , while traditional linear fore-casting methods such as multiple regression mod-el[1], GM(1 ,N) model[2]seemto have many bar-riers on solvingthis complex nonlinearissue amongthese multi-factor ti me series .Artifi…     

配电网故障快速定位及图形显示软件系统的设计

针对中压电力线路发生故障后查找时间长、排除难的问题,提出了树形拓扑结构与监控节点矢量信息运算相结合的中压电网故障线路自动定位及图形显示软件系统设计方案.详细分析了监控节点在软件中的命名规则及其矢量信息的设置方法,提出了判断故障线路和线段的方法.判断结果通过控件Mapobject用色彩显示,直观方便.现场运行证明了上述方案的正确性和可行性,故障定位快速,图形显示准确,为故障处理提供了方便.     

旋风分离器出口边界条件对其流场模拟的影响

研究比较了不同的出口边界条件对旋风分离器内流场CFD模拟结果的影响.模拟结果同LDV试验测量值的对比表明:采用充分发展出口边界条件进行模拟所得的流场在旋风分离器的升气管、内旋流部分与LDV测量结果相比存在一定的误差,而压力出口边界条件模拟的流场更接近于LDV测量值.因此,进行旋风分离器流场模拟时,应用压力出口边界条件得到的计算结果更为精确.