BP神经网络分类器C程序

用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例――从PCB图像中删除所有电流线，仅保留芯片对象-with Canny operator to detect the edges in the image P0404 : image thresholding segmentation P0405 : water line threshold method image segmentation P0406 : matrix Quadtree P0407 : images into text and non-text of the two categories P0408 : morphological gradient detection Binary Image Edge P0409 : morphology example-- Images from the PCB to delete all current lines, retaining only chip targets

该程序实现了简单的模糊ARTMAP神经网络算法。SFAM是神经网络分类器，它是简单和快速的模糊ARTMAP版本。-The program implements a simple fuzzy ARTMAP neural network algorithm. SFAM is a neural network classifier, which is simple and fast version of fuzzy ARTMAP.

基于C语言人工免疫源程序,包括二进制编码的简单遗传算法源程序，二进制编码的简单克隆选择算法源程序-Artificial Immune-based C language source code, including a simple binary-coded genetic algorithm source code, binary-coded clonal selection algorithm simple source

Genetic Algorithm and Its application is recommended System

根据 trilearn_base_sources-3.3 (一般称做UVA底层)修改的robocup球队代码,对某些模块进行了详细的注释(例如BasicPlayer,WorldMode模块),并且进行了一些基本的动作添加的示范(增加了射门动作,四处看动作,截球动作和贴身带球动作),示范了简单的高层决策修改和队型的修改,书写了一套完整的守门员高层代码,希望对大家有帮助-According to trilearn_base_sources-3.3 (generally known as UVA bottom) to amend the code of RoboCup teams, for certain modules in detail the Notes (such as BasicPlayer, WorldMode module), and carried out some basic moves to add a model (an increase of shooting action , look around action, action and cut the ball moves the ball next to the skin), demonstrated a simple modification of the high-level decision-making and team-based changes, write a complete set of high-level code goalkeeper, in the hope that everyone has to help

企业竞争力关键决定因素的直觉模糊识别模型，值得借鉴-competitiveness of enterprises key determinants of intuition fuzzy recognition model, worth learning

基于MATLAB完成的神经网络源程序 大家-Based on the MATLAB neural network to complete the U.S. source

一个用C++实现的bp网络算法程序，供大家参考-a C realized bp network algorithm, for your reference

基于神经网络的字母识别系统 -Letters based on neural network recognition system

BP神经网络C＋＋实现-BP neural network implemented by C++