Optimality Conditions for Nonsmooth Extremum Problems in Topological Vector Spaces

Some new concepts of coneD_s convexity,coneD-s quasiconvexity,cone D-s pseudoconvexity,s right derivative of vector value mapping are proposed;and their related properties are discussed;the optimality necessary conditions and sufficient conditions for constrained extremum problem(VP)involving in cone D-s convex mapping are extablished;the relation between local optimal solution and global optimal solution;as well as the relation between weakly efficient solution and efficient solution for (VP) are derived;the corresponding results generalize the related results of classic convex programming.     

The research in processing fMRI data using temporal-spatial model based on CCA

In the analysis of cognition of human brain,the fMRI is often used.Corelation is a common method in fMRI data detecting,but its ability should be improved.Based on the Canonical Correlation Analysis(CCA),the temporal correlation and spatial correlation are used together to detect the activated area in the fMRI data.By the application of the method in simulation data and fMRI data,it shows that this method is effective in the detecting.     

Determination to Weighting Coefficient of Combination Forecast Based on Rough Set Theory

The problem of determination to weighting coefficient is a key and difficulty for combination forecast. A method of determining weighting coefficient based on rough set theory is showed in this paper. Determining weighting coefficient is translated into estimating significance of attributes among rough set. A relation data model about combination forecast is established. Knowledge systems are built through making attribute value into eigenvalue. Under data moving, the weighting coefficients of a combination forecast model are computed by analyzing the dependence and significance of forecasting method for the predicted object. The proposed approach overcomes the subjectivity of traditional determination to weighting coefficient, avoids computing linear or nonlinear extremum problem and makes combination forecast more objective. The validity of the proposed approach is verified with a case.     

用振动挤淤法处理标准海堤的软土地基

以淤泥类软土的动力特性为基础发展起来的振动挤淤法，在标准海堤软土地基处理中有其独特的实用性。根据海堤的工程特点，分析了振动挤淤法在处理海堤软土地基的必要性和可行性。并着重阐述了振动挤淤法中3个关键施工参数的理论分析和工程实践，这3个参数包括：基础埋深，最小垫层厚度，施工机械作业参数。     

农业机械工业实行信息化改造的战略选择

农业机械工业的信息化改造，是东北老工业基地调整、改造的重要战略举措。紧紧抓住国际制造业高端产品技术转移和外资北上的契机，用高新技术改造传统制造业，足全而振兴农业机械工业的必由之路。为此，论述了农业机械工业实行信息化改造的重要意义，分析了国内外机械工业行业信息化改造的现状和发展趋势，肯定了黑龙汀省农业机械工业在全而实现农业机械化、促进农业可持续发展过程中的地位与作用，指出了在信息化技术应用方而存在的差距，提出了推进农业机械工业信息化改造的若干建议。     

白口铸铁机械性能研究及在农机制造中的应用(I)

为了提高白口铸铁的冲击韧性等机械性能,扩大其在农机具上的应用范围,采用BZ变质剂对白口铸铁进行变质浇铸,并研究了变质剂对白口铸铁中碳化物的断网效果。试验结果表明,变质剂对于含碳量在3.2%以下、含铬量在12%以下的白口铸铁具有较好的断网效果。     

大型排灌工程项目后评价理论及方法

大型排灌工程项目后评价是大型排灌工程项目科学管理的重要环节。根据大型排灌工程的具体特点 ,讨论项目后评价的理论基础和评价方法 ,分析了大型排灌工程项目后评价的特点、内容、基本原则和程序 ,提出了后评价的指标体系及各种指标的计算方法。     

模糊故障诊断在水电机组中的应用

根据水轮发电机组的振动特点，本文探讨了适合于水轮发电机组的振动故障诊断方法，提出了将模糊技术应用于水轮发电机组振动故障诊断的思想，简要阐述了模糊故障诊断的基本原理，列出了水轮发电机组的征兆集和故障集，并根据征兆集和故障集的相互关系，提出了相应的模糊关系矩阵。最后通过模糊关系矩阵的运算，确定水轮发电机组的故障模糊向量。并以实际机组的振动故障为实例，验证模糊故障诊断方法的可行性和优越性。     

基于双池化与多尺度核特征加权CNN的典型牧草识别

针对自然背景下牧草难识别的问题,提出一种基于双池化与多尺度核特征加权的卷积神经网络牧草识别方法。双池化特征加权结构通过将卷积层输出的特征图分别进行最大值池化和均值池化得到两组特征图,引入特征重标定策略,依照各通道特征图对当前任务的重要程度进行加权,以增强有用特征、抑制无用特征;多尺度核特征加权结构通过在卷积层中同时使用3×3和5×5两种卷积核,并将网络的前几层特征复用后进行加权,以提高重要特征的利用率。对10类牧草图像进行识别实验,结果表明,该方法识别率为94. 1%,比VGG-13网络提高了5. 7个百分点,双池化与多尺度特征加权有效提高了牧草识别精度。