一般模糊极大-极小神经网络的研究与应用

分析一般模糊极大-极小神经网络的基本原理,阐述模糊计算方法在分类中的准确性和高效性。将一般模糊极大-极小神经网络应用于企业资信评估中,实现模糊区间的输入,缩小企业评估指标定量化中的误差范围。资信评估结果表明,该算法能快速、有效地对企业进行分类,为资信评估提供了解决方案。     

基于双环控制的航空静止变流器的建模与仿真

针对航空静止变流器在非线性负载条件下输出电压谐波含量大以及逆变器动态响应过程十分缓慢的问题,采用电容电流内环电压外环的双环控制技术,给出了控制器参数基于极点配置的方法,建立了单相航空静止变流器的数学模型。通过Matlab/Simulink软件平台对模型仿真。结果表明:设计方法能真实反映系统的动、静态性能,同时也验证了采用双环控制技术解决航空静止变流器带非线性负载时输出波形畸变以及动态响应缓慢的问题是行之有效的。     

无人机遥感影像获取及后续处理探讨

作为卫星遥感和航空遥感的有益补充,无人机航空遥感系统获取遥感影像具有多种特性。通过4次无人机航拍试验,根据所获取的遥感影像和飞行辅助数据,对航拍数据进行拼接。从航拍的多个方面对飞行试验以及实验成果进行了质量评价。并提出了无人机应用于航拍时存在的问题及一些改进方法。     

弯曲和定向钻孔的设计计算——通用地质坐标系应用实例(之六)

通用地质坐标系的似螺线法和圆弧线法为设计弯曲和定向钻孔提供了全定量计算的基础,并能在钻孔施工发生偏离时,指导选择钻孔纠斜方案.     

普通本科院校信息与计算科学专业实习实训方案设计

分析当前普通高校信息与计算科学专业学生实习实训模式存在的主要问题,并针对这些问题提出一些解决方案;探讨适合学生实习实训要求的企业实训模式,以安庆师范学院信息与计算科学专业学生实习实训模式为例,对学生实习实训的计划和实施过程进行了阐述。实践表明,新的实训模式能够使学生取得良好的实习实训效果。     

Hybrid algorithm for generalized mixed equilibrium problems and variational inequality problems and fixed point problems

In this paper, we introduce a new iterative algorithm by hybrid method for finding a common element of the set of solutions of finite general mixed equilibrium problems and the set of solutions of a general variational inequality problem for finite inverse strongly monotone mappings and the set of common fixed points of infinite family of strictly pseudocontractive mappings in a real Hilbert space. Then we prove strong convergence of the scheme to a common element of the three above described sets. Our result improves and extends the corresponding results announced by many others.     

Queueing analysis and optimal control of and systems

We first consider a finite-buffer single server queue where arrivals occur according to batch Markovian arrival process (BMAP). The server serves customers in batches of maximum size ‘b’ with a minimum threshold size ‘a’. The service time of each batch follows general distribution independent of each other as well as the arrival process. We obtain queue length distributions at various epochs such as, pre-arrival, arbitrary, departure, etc. Some important performance measures, like mean queue length, mean waiting time, probability of blocking, etc. have been obtained. Total expected cost function per unit time is also derived to determine the optimal value N^* of N at a minimum cost for given values of a and b. Secondly, we consider a finite-buffer single server queue where arrivals occur according to BMAP and service process in this case follows a non-renewal one, namely, Markovian service process (MSP). Server serves customers according to general bulk service rule as described above. We derive queue length distributions and important performance measures as above. Such queueing systems find applications in the performance analysis of communication, manufacturing and transportation systems.     

PC作为S7—200PLC系统人机界面的一种应用实例

在西门子S7—200PLC系统中,通常所配置的人机界面大多采用西门子专用的TP170、TP27、OP37等系列触摸屏。一旦这些触摸屏发生故障和损坏,难以采购和维修,且备件成本较高。本案例采用当今流行的通用PC机来代替TP27和OP37等专用HMI设备,并实现了PC机与S7—200PLC之间的数据通信,为PLC系统触摸屏的通用化改造提供了一个应用实例。     

Accelerating geoscience and engineering system simulations on graphics hardware

Many complex natural systems studied in the geosciences are characterized by simple local-scale interactions that result in complex emergent behavior. Simulations of these systems, often implemented in parallel using standard central processing unit (CPU) clusters, may be better suited to parallel processing environments with large numbers of simple processors. Such an environment is found in graphics processing units (GPUs) on graphics cards.This paper discusses GPU implementations of three example applications from computational fluid dynamics, seismic wave propagation, and rock magnetism. These candidate applications involve important numerical modeling techniques, widely employed in physical system simulations, that are themselves examples of distinct computing classes identified as fundamental to scientific and engineering computing. The presented numerical methods (and respective computing classes they belong to) are: (1) a lattice-Boltzmann code for geofluid dynamics (structured grid class); (2) a spectral-finite-element code for seismic wave propagation simulations (sparse linear algebra class); and (3) a least-squares minimization code for interpreting magnetic force microscopy data (dense linear algebra class). Significant performance increases (between 10× and 30× in most cases) are seen in all three applications, demonstrating the power of GPU implementations for these types of simulations and, more generally, their associated computing classes.