用遗传算法优化神经网络权值的源程序

清华大学不确定规划教材中的模糊规划求解算法1-Tsinghua University, uncertainty in the planning of teaching materials fuzzy programming algorithm 1

此代码经过大量使用，反映很好，代码优化，效率高-this code after extensive use, reflecting good code optimization, high efficiency! !

Running this funciton each time to compute the LBP-TOP distribution of one video sequence. Reference: Guoying Zhao, Matti Pietikainen, "Dynamic texture recognition using local binary patterns with an application to facial expressions," IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(6):915-928.-It is 3D LBP, which is publised in IEEE TPAMI, a top journal of computer vision and pattern recognition. After unzipping the package, you can find a project coded in C++. After complied it, you can use it directly. Some tested images are also attached in the package.

经典的粒子群源代码！详细的备注、严谨的语句是初学粒子群的好东西-The classical particle swarm source code! Detailed comments, rigorous statement is a good thing novice PSO

详细介绍了局部奇异值分解-details of local SVD

微分进化算法DE是1995年由Rainer Storn和Kenneth Price首先提出。DE已被证明在求解过程中具有高效性、收敛性、鲁棒性等优点[5,6] 。它在许多优化问题中都表现出优于自适应模拟退火算法、POS 算法、GA算法的性能。DE利用实数值参数向量作为每一代的种群，它的自参考种群繁殖方案与其他优化算法不同。-DE was first proposed in 1995 by Rainer Storn and Kenneth Price and had been proven that it is efficient, convergent, and robust in the solution process. [5,6] In many optimize questions, its performance surpasses the adaptive simulated annealing algorithm, the POS algorithm, and the GA algorithm. DE gets each generation of population using the real value parameter vector, and the crucial idea of DE is a scheme for generating trial parameter vectors.

串口服务器KEIL C51原代码,单片机采用STC89C58RD+,网络控制器采用RTL8019,经过三层交换机测试,可以直接应用在产品,串口波特率576-KEIL C51 serial server source code, microcontroller used STC89C58RD+, Network controller using RTL8019, after a three-switch testing, can be directly applied to products, serial baud rate 576

基于EKF的机器人SLAM演示程序, 对于搞机器人定位及地图构建的朋友会有一定帮助, 这个版本用的人比较多-EKF-based SLAM demo of the robot, the robot carry out positioning and mapping will have a certain friend to help, this version used by many people

这是一本较详细介绍遗传算法原理和应用的书籍，很多应用在本书中多有介绍-This is a more detailed genetic algorithm theory and application of books, many applications in this book presents more

使用具有增量学习的监控式学习方法。包括几个不同的分类算法。-use with incremental learning supervised learning method. Including several different classification algorithm.