模式识别中人连识别眼镜定位，用的是matlab支持向量机开发的...

神经网络的相关资料 神经网络的基础知识及其在MATLAB中的实现-matlab16neuro network

模糊控制pid算法，程序化，可以方针，-fuzzy control algorithms, procedures, guidelines,

最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. -The newest work tools of svm,it will be very convenient to have it.

人工智能GA问题的C语言实现，已经调试通过，含源程序和实验报告-the C language, debugging, and experiment with the source report

本课题基于汉语普通话客观质量评价的模型、利用MOS主观评价方法和客观评价方法对语音样本进行评价。并分析客观评价方法的优缺点及在研究中遇到的问题和改进方法，其主要研究内容是利用MATLAB的建立语音客观评价模型，涉及到人工神经网络，数字信号处理等方面的内容。-The issue of objective quality evaluation based on the Mandarin model, using MOS subjective evaluation method and objective evaluation of speech samples evaluated. And analyze the advantages and disadvantages of an objective evaluation method of the problems encountered in the study and improvement of methods, the main research content is to use MATLAB model for the establishment of objective evaluation of speech, involving artificial neural networks, digital signal processing and other aspects.

径向基函数网络应用实例-RBF Network Application

goat遗传算法工具包，可参考使用，节省遗传算法开发时间-goat genetic algorithm tool kit, refer to the use of genetic algorithms to save development time

OPENCV系列的，关于CORE，应该挺有用的，大家自己看看吧！-OPENCV series of CORE, should be quite useless, we all see!

模式识别源程序，希望大家能够喜欢，配套书籍是模式识别-Pattern recognition source code, hope that we can like it, matching books are Pattern Recognition

本文采用红外光电传感器技术, 建立了一个基于神经网络的客流计数系统, 与传 统的仅利用光电传感器计数方法相比, 该方法提高了实时客流计数准确率。为了更好的分 类识别计数, 针对采集的连续的时空序列客流数据特点, 改进了已有的分割方法和针对客 流实际情况的特征提取方法。最后经过稀疏和密集客流模拟仿真测试, 结果表明, 本文所 提出的模型能够识别多人并排的情况, 误差率较低, 具有理论和实际意义。-RBF