这是著名的Tsai标定摄像机参数的内部和外部…

neural networks applications

一套图像处理程序,支持三种图像文件格式,我调试过了,很好用-Image processing programs for JPEG,GIF and PNG.I have compiled them, which is good for using.

我的文件是用VC设计的一个求解人工智能中8数码问题的程序。-my VC document is designed to solve a digital AI 8 issue procedures.

是一个用MATLAB编的一个系统，是关于各个神经我网络模型和支持向量机的软件包-using MATLAB is a part of a system of various neural network model and I support vector machine packages

神经网络拟合，试用，本人用于药品浓度拟合之用-neural network fitting trial, I used drugs used concentration Fitting

人工智能动物推理系统程序-animal AI reasoning system procedures

基于matlab的改进模拟退火算法（经典）-Matlab-based improvements in simulated annealing algorithm (classical)

用bp实现的数字识别程序，用到了经典的bp算法，可移植到其他应用程序中去-bp achieve with the digital identification procedures, the use of classical bp algorithm can be transplanted to other applications go

基于C开发的三个隐层神经网络，输出权值、阈值文件，训练样本文件，提供如下函数：1）初始化权、阈值子程序；2）第m个学习样本输入子程序；3）第m个样本教师信号子程序；4）隐层各单元输入、输出值子程序；5）输出层各单元输入、输出值子程序；6）输出层至隐层的一般化误差子程序；7）隐层至输入层的一般化误差子程序；8）输出层至第三隐层的权值调整、输出层阈值调整计算子程序；9）第三隐层至第二隐层的权值调整、第三隐层阈值调整计算子程序；10）第二隐层至第一隐层的权值调整、第二隐层阈值调整计算子程序；11）第一隐层至输入层的权值调整、第一隐层阈值调整计算子程序；12）N个样本的全局误差计算子程序。-C development based on the three hidden layer neural network, the output weights, threshold documents, training sample documents, for the following functions : a) initialization, the threshold subroutine; 2) m learning samples imported subroutine; 3) m samples teachers signal Subroutine ; 4) hidden layer of the module input and output value subroutine; 5) the output layer of the module input and output value subroutine; 6) the output layer to the hidden layer subroutine error of generalization; 7) hidden layer to the input layer subroutine error of generalization; 8) the output layer to the third hidden layer Weight adjustment, the output layer threshold adjustment routines; 9) 3rd hidden layer t

这是一个支持向量机的工具，可以实现分类功能-This is a support vector machine tools, can achieve a functional classification