采用广义回归神经网络GRNN进行货运量预测

说明：  Matlab多项式实现区域高程拟合，需要自己输数据(In order to realize the regional elevation fitting by MATLAB polynomials, we need to input data by ourselves)

说明：  使用遗传算法（GA）解决二维装箱（Two-Dimensional Packing Problem）问题，(Genetic Algorithms for Solving Two-Dimensional Packing Problem)

概率统计分析仪 labview程序-Probability and Statistics Analyzer

可以分析星历数据并解算出所需要的数据，生成天顶视图(It can analyze ephemeris data and calculate the data needed to generate zenith view.)

说明：  数据曲线分析，显示数据曲线，根据皮尔森系数判别两条数据曲线的相似度(Data curve analysis, display data curve, distinguish the similarity of two data curve according to Pearson coefficient)

用LABVIEW做的欢迎界面，可以设置分类型号登陆，对坐测试的朋友有一定的帮助，尤其是多型号测试。(Welcome to do with the LABVIEW interface, you can set the classification models landing, sitting down to a test of a friend has some help, especially the multi-model test.)

本文详细讲述了图像细化算法的基础知识，能够给研究图像细化算法的图像处理工作者提供较好的参考-In this paper, a detailed account of the image thinning algorithm based on knowledge, able to image thinning algorithm to the study of image processing workers to provide better reference

详细介绍了802.16的协议，这部分是MAC层，其余正在下载中(details of the 802.16 of the Agreement, which is part of the MAC layer, and the rest were Download)

本书共分5章：第1章介绍GPU通用计算的发展历程，介绍并行计算的历史、现状以及面临的问题；第2章介绍CUDA的使用方法，帮助理解CUDA的编程模型、存储器模型和执行模型，掌握CUDA程序的编写方法；第3章探讨CUDA硬件架构，深入分析Tesla GPU架构与CUDA通用计算的相互作用：第4章总结CUDA的高级优化方法，对任务划分、存储器访问、指令流效率等课题进行探讨；第5章以丰富的实例展示如何使用CUDA的强大性能解决实际问题。(This book is divided into five chapters: Chapter 1 introduces the development process of general-purpose GPU computing, parallel computing introduces the history, current situation and problems Chapter 2 describes the use of CUDA to help understand the CUDA programming model, the memory model and implementation model, master CUDA program writing method Chapter 3 explores CUDA hardware architecture, in-depth analysis of Tesla GPU architecture and CUDA general-purpose computing interactions: Chapter 4 summarizes the CUDA advanced optimization methods, the division of tasks, memory access, instruction stream efficiency and other topics were discussed Chapter 5 with abundant examples show how to use CUDA strong performance to solve practical problems.)

利用SIMETRIX仿真软件对LLC进行仿真，是一个完整的工程，具有非常强的参考价值。(Using SIMETRIX simulation software to simulate LLC is a complete project and has very strong reference value.)