昨天刚刚看到的A star算法类的实现，不知道对大家有没有用，参考一下吧...

加了注释的c代码（complexNetwork）源代码，下载后就可以直接使用-Added a comment c code (complexNetwork) source code, downloads can be used directly after

二维核密度估计算法.以及最优化计算核宽度。-bivarite kernel estimation

根据教材整理的神经网络程序！很多种神经网络程序-Finishing materials in accordance with the neural network program! A variety of neural network procedures

吉林大学《计算智能》课程的课件-Jilin University, "Computational Intelligence" Curriculum courseware

FisherFace, an algorithm based on PCA and LDA

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

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.

2。《遗传算法――理论、应用与软件实现》，王小平、曹立明编着 西安交通大学出版社 2002年第一版 本书全面系统地介绍了遗传算法的基本理论，重点介绍了遗传算法的经典应用和国内外的新发展。全书共分11章。第1章概述了遗传算法的产生与发展、基本思想、基本操作以及应用情况；第2章介绍了基本遗传算法；第3章论述了遗传算法的数学基础；第4章分析了遗传算法的多种改进方法；第5章初步介绍了进货计算理论体系；第6章介绍了遗传算法应用于数值优化问题；第7章介绍了遗传算法应用于组合优化问题；第8章介绍了遗传算法应用于机器学习；第9章讨论了遗传算法在智能控制中的应用；第10章讨论了遗传算法与人工生命研究的相关问题；第11章介绍了遗传算法在图像处理、模式识别中的应用。-2. "Genetic Algorithm-- theory, application and software," Wang Xiaoping, Li-Ming Cao compile Xi"an Jiaotong University Press in 2002 the first book version of the comprehensive and systematic introduction of the genetic algorithm"s basic On focuses on the classical genetic algorithm use and the new development. The book is divided into 11 chapters. Chapter 1 provides an overview of the genetic algorithm for the selection and development of basic ideas, basic operation and the application; Chapter 2 introduces the basic genetic algorithms; Chapter 3 of the genetic basis of a mathematical algorithm; Chapter 4 Analysis of the genetic algorithm app

模式识别中的K－均值算法演示-pattern recognition, the K-means algorithm demo

支持向量机(3)svm_light-Support Vector Machines(3):svm_light