资源列表
sa-ppt-sample
- 模拟退火算法最早的思想由Metropolis等（1953）提出，1983年Kirkpatrick等将其应用于组合优化。-Simulated annealing algorithm was first thought by Metropolis et al (1953) suggested that, in 1983, Kirkpatrick and so on will be applied to combinatorial optimization.
simulated-annealing-algorithm
- 用模拟退火算法实现求函数极值问题，c++原码-Simulated annealing algorithm demand function, extremal problem, c++ source
yqsf
- 基于蚁群算法的PID控制参数优化Matlab源码-PID Control Based on Ant Colony Optimization Algorithm for Matlab source
Hybrid-PSO
- 基于matlab的混合粒子群算法，供算法应用学习者参考。-Matlab-based hybrid particle swarm algorithm, algorithm is used for learner reference.
GA
- 遗传算法--PID参数寻优 基于avr单片机实现-Genetic Algorithm- PID parameter optimization based on avr Microcontroller
shenjing
- 使用bp神经网络进行分类。包括鸢尾花数据，以及训练过程和分类结果。包含非常详细的注释。-Use of bp neural network classification. Including the iris data, and training process and classification results. Contains very detailed notes.
FWNN
- FWNN 模糊小波神经网络的实现源码，学习算法使用的是GD（梯度下降算法）-failed to translate
SVM
- 支持向量机的一些小程序，对写有关职能控制方面的论文有一定的帮助-SVM small programs to write the functions of the control of the papers have some help
SimuAPSO
- 模拟退火发与粒子群算法的结合，程序可用，收敛的很快-Simulated Annealing and Particle Swarm made the combination of procedures available, fast convergence
SGA_C
- 该代码是遗传算法实现多元函数的最值问题，通过实数编码方法实现简单易懂-The genetic algorithm code is directed at the problem of multivariate function
Graduate
- 径向基函数神经网络学习算法研究 学术论文 非常有用 想学习的可以看一下 来自于 中国知网的 好路我呢-Radial basis function neural network learning algorithm for papers can be very useful to learn from China look good road I do HowNet
NSGA-II
- 外国人编写的有用的 NSNA-II程序有详细的文档说明-NSGA ( [5]) is a popular non-domination based genetic algorithm for multi- objective optimization. It is a very e® ective algorithm but has been generally criticized for its computational complexity