Application of BP Neural Network in Prediction of Cu-Pb Composite Plates Properties

Abstract： The artificial neural networks（ANN） , which have broad application, are proposed to develop Cu-Pb composite plates materials. Based on the back propagation（BP） algorithm of the forward muhilayer perceptron, the model to predict the shear stress under different ingredient of the third element and the hot dipping temperature for Cu-Pb composite plates are established. Then the relational model among the third element, hot dipping temperature and shear stress by using the limited data are studied, and the forecast average error is 4%. This model can satisfy the requirements of the precision of forecast in the project experiment process. The results show that the corresponding shear stress is greater when the third element in the element contains more Sn; the most appropriate temperature of hot-dip plating about is 340℃, ＇after predicted with lead/the third element/the best performance of copper composite material element of the third group is the one-element Sn, hot dip plating temperature is 335 ℃ ; two-element is 90% Sn 10% Bi, and hot dip plating temperature is 345 ℃. The prediction results can be used for a reference in instructing the further experimental design.     

Eigenvalue Modeling and Cross-Correlation Analysisfor 6.0-6.4 GHz MIMO Channel

In Multiple-Input Multiple-Output （MIMO） system, the number of positive channel matrix eigenvalues ~s directly related to system performance. In order to characterize and model channel matrix eigenvalues, channel measurements at 6. 0 -6. 4GHz by using 4 ~ 4 MIMO structure were conducted in a typical classroom environment. Based on measured data, the eigenvalues were modeled as Log-Normal distributed random variables and parameterized. Furthermore, Cross-Correlation （CC） coefficients of eigenvalues were estimated. The measurement results show that, under both Light-Of-Sight （LOS） and Non- Light-Of-Sight （NLOS） scenarios, eigenvalues are highly de-correlatod so that CC can be ignored for eigenvalue model.     

Experimental Research on the Dynamic Energy Absorbing Capacity of the Honeycomb Paperboard Filled with Polyurethane

A kind of composite buffering material was made by filling the voids of honeycomb paperboard with polyurethane. Drop tests were performed to evaluate the dynamic energy absorption capacity of the material. Based on the tests results, the mechanical behaviors of the material under low velocity dynamic impact conditions were analyzed. It was shown that the absorbed energy of the composite material varies inversely with the void diameter. The absorbed energy of the composite material is 1 - 2 times than that of honeycomb paperboard and polyurethane. The energy absorption efficiency of the composite material is better than those of honeycomb paperboard and polyurethane.     

Comparison of Skidding Performance of Small Track-type Experimental Prototype Skidder and J-50 Skidding Tractor

In this paper, field experimental comparison is made between a small track-type experimental prototype skidder and a J-50 skidding tractor. Experimental data, including skidding productivity, soil compaction on skidding trails, and damage rate of the residual trees, are analyzed. The results indicate that with the condition of scattered skidding area and low skidding volume per cycle, small track-type experimental prototype skidder has advantage on working and a higher skidding productivity. It makes lower soil compaction to the skidding trails in the depth of 0-5 cm, 5-10 cm, and 10-15 cm. Under the same work conditions, the damage rate of the residual trees made by small track-type experimental prototype skidder is only 1/5 of those made by J-50 type skidding tractor. The damage rate is reduced by 80%.     

小导管注浆粘土隧道破坏机制的试验与理论研究

运用Acutronic 661型离心机研究超前小导管注浆加固圆形隧道的塑性变形机制,试验隧道在平面应变条件下的超固结粘土中开挖,小导管采用具有一定硬度的合成树脂模拟,管间相互重叠形成拱形加固区,设置在圆形隧道拱顶。模型地表沉降采用位移传感器进行测量,地下位移则通过一种连续的图形采样分析系统获取。目的在于研究隧道建设过程中小导管注浆“拱顶加固”工艺对地表沉降和隧道稳定性的影响。在此基础上,从塑性极限分析上限法的基本原理出发,构建小导管注浆粘土隧道的垮落机制,采用解析法导出稳定率上限方程,通过该方程进一步讨论隧道埋深、土体强度、小导管注浆体对单圆形隧道稳定率上限解的影响。最后,由离心模型试验结果证实其上限解的正确性。     

微博转发预测算法评测系统的建立及性能比较

为解决微博转发行为预测问题,提出了一个基本的预测算法评测系统框架.该系统解决了原始微博数据的抓取和预处理,以及用户微博的转发和忽略行为的判定,微博和用户的特征提取等问题,为解决微博转发行为预测问题提供了技术基础.详细分析了现有文献和工作中的微博转发行为预测算法,阐述了它们的基本原理.通过定量实验分析了不同微博转发行为预测算法的在局部预测问题和全局预测问题方面的性能,并且从算法的原理等方面出发给出了定性的分析.     

青龙瀑布景区游客满意度实证研究

随着旅游业竞争的日趋激烈,旅游景点如何在竞争中脱颖而出,对顾客满意度影响因素分析和研究至关重要。文章以万州青龙大瀑布为例,通过对影响万州青龙大瀑布顾客满意度因素的问卷调查,将影响满意度的19个变量因素运用SPSS软件进行整理分析,运用因子分析法将19个变量归为四大公共因子,分别是旅游服务、旅游保障、景区宣传、景区管理四大类,并对其进行信度检测,随后构建了顾客满意度综合评价模型,最后对如何提高顾客满意度提出对策建议,以促进旅游景点服务质量的有效提高。     

艺术类大学生设计鉴赏与批评能力培养——基于现代媒体以同伴反馈与教师反馈相结合的模式

针对艺术类大学生批评鉴赏能力的培养,通过同伴反馈及教师反馈相结合的方式,结合现代新型媒体,如QQ群、网络博客、微博等,让学生参与到对同学的艺术作品创作效果反馈中,通过这种开放式的反馈训练,增强了学生交流、参与、合作意识和艺术鉴赏与批评能力的提高,同时教师的反馈介入,使得学生的艺术审美及批评更加客观,更加系统化、理论化和学术化。     

基于物联网与3G整合的电子商务应用资金流探析

文章在简要介绍物联网与3G网络的基础上,阐述了物联网与3G整合背景下电子商务资金流所具备的特点,进而论述了此背景下资金流的优化和作用,最后重点分析了整合背景下电子商务资金流的两个应用案例。     

城市规划专业留杭毕业生住房情况调查及分析——以浙江科技学院为例

随着中国城市化的快速推进和房价的日益飙升,大学毕业生在刚毕业几年间的住房问题显得越来越突出。现以浙江科技学院近六年城市规划专业本科毕业生为调查对象,结合多种调研方法的综合运用,通过对其居住足迹的跟踪调查,剖析大学毕业生的住房现状和住房困难问题,探讨公共租赁房这一保障性住房的准入机制及理想的区位分布等议题。