nsga2 C++源代码实现，收敛速度快

一个介绍基于共识策略的cPLS文档，该方法具有更高的预测精度，由于传统PLS方法。有实例-A consensus-based strategy to introduce cPLS documents, the method has higher prediction accuracy, because of the traditional PLS method. There are examples of

用遗传算法求解背包问题是南京航空航天大学信息与计算科学专业编写的.本程序利用遗传算法来求解背包问题.采用二进制字符串编码,1表示选择物体,0则不选择. 背包问题描述:在M件物品取出若干件放在空间为W的背包里，每件物品的重量为W1，W・2……Wn，与之相对应的价值为P1,P2……Pn。求出获得最大价值的方案。注意：在本题中，所有的重量值均为整数。-genetic algorithm knapsack problem is the Nanjing University of Aeronautics and Astronautics, Information and Computing Science prepared. The procedure the use of genetic algorithms to solve knapsack problem. binary string encoding, an option objects, 0 no choice. Knapsack Problem Description : M items removed several pieces on the space-W backpack, Each of the weight W1, W 2 ... Wn, the corresponding value of P1, P2 ... Pn. Sought to gain maximum value of the program. NOTE : In this issue, all the weight values are integers.

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

本多功能自控系统软实验平台包括经典控制理论、现代控制理论、系统辨识、最优控制、智能控制等的软实验内容，其功能接近和部分超过了Matlab的自动控制工具箱，其人性化的中文界面，让使用者能轻松完成各种控制系统实验，是学习控制理论、设计控制系统的有力工具。-the multifunction control system experimental platform including soft classical control theory, the modern control theory, system identification, optimal control, intelligent control of the soft experiments, its function and some close over the Matlab toolbox control, the human interface to help users easily End into a variety of experimental control system, control theory is the study and design of the control system powerful tool.

神经网络C程序的第10章-neural network C procedures for the Chapter 10

最邻近的RBF算法,MATLAB实现,较为有价值的资料.-The nearest RBF algorithm, MATLAB realize, the more valuable information.

基于Viusal C++开发的遗传算法源程序，在VC6.0环境下调试通过。-Based on Viusal C++ Developed genetic algorithm source code in VC6.0 environment debug through.

一个用于聚类的工具箱，内有主元分析、模糊等技术的Matlab源代码和应用实例程序Demo。-One for clustering toolbox, with principal component analysis, fuzzy techniques, such as Matlab source code and application procedures for Demo.

人工智能中的遗传算法权威书籍 适合初学者-Genetic Algorithms in Artificial Intelligence the authority of books suitable for beginners

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