Genetic Algorithm with TSP (traveling salesman) problems, in accordance with the...

本程序是人工编写的bp神经网络，针对识别样本btw三类进行训练和识别。-This procedure is prepared bp artificial neural networks, btw samples for identification of three types of training and identification.

该程序利用遗传算法求Rosenbrock函数的极大值。该算法主要包括确定决策变量、建立优化模型、确定编码方法、确定解码方法、确定个体评价方法、设计遗传算子、确定遗传算法的运行参数等七个步骤。-the procedures for the use of genetic algorithms Rosenbrock function of great value. The algorithm including the identification of the main decision variables, the optimal model to determine coding method to determine decoding, determine individual evaluation methods, genetic operator, genetic algorithm to determine the operating parameters seven steps.

用改进的神经网络MBP算法辨识 ，对具有随机噪声的二阶系统的模型辨识-improved neural network algorithm for identification of MBP, the random noise with the second-order system model

本程序用模拟退火算法实现了旅行商问题（tsp问题）-the procedures used simulated annealing algorithm to achieve the traveling salesman problem (tsp)

基于BP算法的贝叶斯网络参数学习， 实现了图形话的节点表示和样本生成， 图形话的结果分析-BP algorithm based on Bayesian network parameter learning, the achievement of the graphics, then the node express and sample generation, if the results of graphical analysis

fisher c算法-fisher c algorithm

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.

八数码问题全局择优算法-eight digital algorithm selection of the best overall problem

人脸识别：利用奇异值分解和KL变换的投影，是很有价值的一篇文章-Face Recognition : The Singular Value Decomposition and KL transform projection, it is valuable to an article

清华大学不确定规划教材中的用遗传算法训练神经元网络的混合智能算法2-Tsinghua University, uncertainty in the planning of teaching materials by using genetic algorithm trained neural network Hybrid Intelligent Algorithm 2