一个关于办公家具的三维模拟程序，VRML语言编写

使用双缓冲技术，实现降低图像的抖动，很有用的哟！-The use of double buffering technology, realize to reduce image jitter, yo useful!

vega prime 中将屏幕中心点的屏幕坐标转化为世界坐标并且将其值实时显示在屏幕左下角-vega prime focal point of the screen will be the screen coordinates into world coordinates and its value in real-time displayed in the lower-left corner of the screen

***** DocBar - AutoCAD 基于图形化可停坞的文档选择工具 -***** DocBar- AutoCAD can be stopped based on the graphical selection tool dock document*****

jasper-1.900.1, use it to perform JPEG2-jasper-1.900.1, use it to perform JPEG2000

一个取代GAPI的东西，非常好用。比GAPI 快3倍-a GAPI replace things, very handy. GAPI than three times faster

用vc编写得图像灰度均衡得代码，希望对你有用-Vc was used to prepare a balanced image code, I hope useful for you

是采用VC.NET编制的CAD小系统包括椭圆直线多边形图形放缩工具箱..等许多功能-VC.NET is compiled using the CAD system, including the small oval linear scaling polygon graphics toolkit and many other functions ..

这是我参考了n(n>=5,^_^)篇BP神经网优化方法的论文写出的BP神经网源代码，使用了批处理训练方法，带动量项、学习速率的自适应调整、仅对学习精度没有达到指定要求的模式训练，并且训练精度逐步加大，通过这种方法，极大地加快了训练速度；另外，对于0模式和1模式数目相差很大(5-6倍)都能达到很高的学习精度。-This is my reference to the n (NGT; Chapter 5 = ,^_^) BP neural network optimization method to write the thesis of BP neural network source code, use the batch method of training, the volume driven, adaptive learning rate adjustment, not only learning accuracy requirements specified the model training, and training gradually increased accuracy, this method has greatly accelerated the pace of training; In addition, the 0 mode and a model number vary greatly (5-6 times) to achieve high accuracy of the study.

资源描述C#解析和生成二维码,这个可以方便地生成二维码和解析它，不可多得的资源，你值得拥有！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！

Introduction Icasso is based on running FastICA several times (resampling). Icasso pools all the estimates together and forms clusters bottom-up among them. The basic idea is that a tight cluster of estimates is considered to be a candidate for including a "good" estimate. A centroid of such cluster is considered a more reliable estimates than any estimate from an arbitrary run. (Instead of an average as a centroid, Icasso visualizes and returns a centrotype from each cluster. This is the one of the original estimates that is most similar to other estimates in the same cluster. You can compute the average by using Icasso functions.)