BP神经网络用于函数拟合与模式识别的Matlab示例程序,说明很详细,并且代码可以直接拿来用...

利用Fisher分类器对数据进行分类，并画出决策面（含测试数据）-Fisher classifier using the data classification, and face painted in decision-making (including test data)

这个软件可以对输入的象素矩阵进行识别。是根据《Neural Network Design》（Martin T. Hagan等）中的关于有监督的Heb学习编写的。使用JBuilder开发的界面，使用JCreator开发的核心。-the software can input pixel matrix identification. Based on "Neural Network Design" (Martin T. Hagan, etc.) on the supervision of a study prepared by the Heb. Using JBuilder development of the interface, use JCreator development of the core.

pazen window分类器， 在模式识别课学到的，自己写的一个小程序-pazen window classifier, pattern recognition lesson learned, to write a small program

微分进化算法DE（Differential Evolution）由Storn和Price等学者于1995年首先提出。它是一种基于种群优化的新智能优化方法，它已被证明在求解过程中具有高效性、收敛性、鲁棒性等优点-Differential evolution algorithm DE (Differential Evolution) by Storn and Price and other scholars in 1995, the first place. It is a species based on the optimization of the new intelligent optimization method, which has been proved in the solving process with high efficiency, convergence, robustness, etc.

模糊ISODATA聚类分析，可以模糊矩阵数据进行聚类分析-Fuzzy ISODATA cluster analysis can be fuzzy matrix cluster analysis of data

（其中已经包含5个源码）所附源程序C或C++代码文件及其可执行文件 Scs.cpp 基本分类算法源程序， 输入数据文件cfile.txt,efile.txt,gfile.txt,pfile.txt ,rfile.txt,tfile.txt Sga.c 基本遗传算法源程序, 输入数据文件input，输出文件output A_life.c 基于遗传算法的人工生命模拟源程序, 输入数据文件world GA_nn.c 基于遗传算法优化神经网络结构源程序,输入数据文件sample Patmat.c 基于遗传算法提取基元图形源程序-(which includes five OSS) attached to C or C source code files and executable files Scs.c pp basic classification algorithm source files, input data files cfile.txt, efile.txt. gfile.txt, pfile.txt, rfile.txt. tfile.txt Sga.c basic genetic algorithm source files, input data files input, output file output A_life.c based on genetic algorithm simulation source Artificial Life, import data files GA_nn.c world based on genetic algorithm optimization neural network structure source, import data files Patmat.c sample extraction based on genetic algorithm-based graphic source yuan

一个包含丰富内容的流形学习算法工具包，有图形示例文件demo.fig，包括laplacian特征映射算法、流形规则调整、svm分类算法等内容，希望对研究机器学习的朋友有用。-contains a rich content of the manifold learning algorithm tool kit, graphics documents demo.fig example, laplacian features include mapping algorithm manifold rules adjustments svm classification algorithm, want to study machine learning useful friends.

本课题的主要内容是图像预处理,它主要从摄像头中获取人脸图像然后进行处理,以便提高定位和识别的准确率.该模块主要包含光线补偿、图像灰度化、高斯平滑、均衡直方图、图像对比度增强，图像预处理模块在整个系统中起着极其关键的作用，图像处理的好坏直接影响着后面的定位和识别工作,内有源代码和全部论文资料-this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre- processing module in the system plays a crucial role in image processing will have a direct impact behind the positioning and identification, within Active code and all papers information

自己编写的人工智能小模型，可实现逻辑推理功能

人工智能运用广度优先算法来解决八数码问题,由初始状态到目标状态按层搜索-breadth priority use of artificial intelligence algorithms to solve eight digital issue, the initial state to the target state by layer Search