贝叶斯分类代码,实现分类

单层线性神经网络实例-single example of linear neural network

通过人工智能算法快速实现神经网络识别，具有更加高效和快速的特点-Through artificial neural network algorithm for rapid identification, have a more efficient and rapid characteristics of

这个程序是个神经网络提供学习能力的实例，是前一个simpleann的功能加强版。-this procedure is a neural network learning ability example is the former simpleann an enhanced version of the function.

关于机器人的手臂程序，包含最基本的移动，-Procedures on the robot arm, including the most basic mobile,

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

本代码用蚁群算法求解带时间窗的车辆路径问题-The code with ant colony algorithm with time window of vehicle routing problem

有穷状态机，利用VC6.0编写蚂蚁找食的模拟程序-Finite state machine, the use of ants looking for food preparation VC6.0 simulation procedures

蚂蚁算法在服务质量方面的代码，主要是服务质量方面的东西-Ant Algorithm in the service quality of the code, mainly the quality of services of things

SVM的讲义！具体的内容可以自己看！很详细的-SVM lectures! Specific content can look! Very detailed

用遗传算法解迷宫问题的实现与改进-genetic algorithm maze of achievement and improvement