资源列表
cpso
- 提出多目标混沌粒子群优化算法并应用于机器人足球防守策略之中。在对方多名队员进攻情况下，通过该策略引导我方队员防守跑位，并选取我方位置最佳队员对对方主攻队员进行截球，从而达到成功防守的目的。-A robot soccer defensive strategy based on multi-objective chaotic particle swarm algorithm is proposed. When two or more opponents attack,
bp-neural-network(3-hidden-layer)
- 3隐层的bp神经网络，有详细的注释，各隐层的权值调整、输出层阈值调整，学习样本输出层至隐层一般化误差-3 bp neural network hidden layer, there are detailed notes, each hidden layer weight adjustment, the output layer threshold adjustment, learning sample output layer to the hidden layer generalization
immunate
- 一个免疫算法的matlab程序，免疫算法与遗传算法相似，都为求较优解的一种方法。该算法实现较为简单，只有一个文件-An immune algorithm matlab procedures, immune algorithm and genetic algorithm similar, both for the sake of better solutions in a way.
bp神经网络源代码
- 基本的bp神经网络源码，可以作为代码模板
bp-matlab-code
- 基本bp神经网络算法和改进型bp神经网络算法都是我改写完成的算法，是网上到处传播的一个c++ bp神经网络算法改写的-Bp basic neural network algorithms and improved neural network algorithm bp are my complete rewrite of the algorithm, is spreading everywhere, an online c++ bp neural network algorithm rewrit
yichuansuanfa
- 遗传Matlab程序算法，里面有遗传算法的选择、交叉、变异函数，一些简单的Matlab遗传算法例子。-Genetic algorithm Matlab procedures, there are genetic algorithm selection, crossover and mutation function, some simple examples Matlab genetic algorithm.
vb--bp
- S型激励函数，ATN激励函数，带有样本，两种激励函数的不同效果-S-type activation function, ATN activation function, with samples of two different effects of activation function
EI_ELM
- 极端学习机的改进算法，增强随机搜索能力的极端学习机EI-ELM主程序-Improved algorithm for extreme learning machine, and enhance the ability of random search of extreme learning machine EI-ELM main
ff
- BP算法例子：用一个五层的神经网络去逼近函数 ，有需要的程序员可以用到。-BP algorithm examples: using a neural network to approximate five functions, there is a need for programmers to use.
greyrelationaldegree
- Matlab计算灰色关联度矩阵，效率较高，已经用于14400*50的高纬度计算-Matlab gray correlation matrix calculation, high efficiency, has been used 14 400* 50 high-latitude calculations
example-of-NSGA
- onventional optimization algorithms using linear and non-linear programming sometimes have difficulty in finding the global optima or in case of multi-objective optimization, the pareto front. A lot of research has now been directed towards evolution
SavingsMethod
- 解决CVRP的著名的saving method方法-The Saving method to solve CVRP