资源列表
shishubianmaGA2
- 这是初学算法时收集和整理的几个比较有参考价值的ga程序,望对大家有帮助
CHAP4_3
- 本程序是针对BP算法和PID两种算法混合起来对系统进行控制！-against BP PID algorithm and mixed up two algorithms to control the system!
psoclustering2
- 使用粒子群进行聚类的算法，其中有一定的改进，缺点是耗时太长，给大家参考下-Using PSO algorithm, which has some improvements, the shortcomings of the time is too long, to everyone under the reference
BP-Iris-classifier
- 使用BP网络实现了对Iris数据的分类，使用了可变学习速率和带动量的梯度下降算法。-Using the BP network realizes the classification of Iris data, the use of the variable learning rate and the amount of gradient descent algorithm driven.
bp_network
- matlab平台下BP神经网络功能的实现-the code about BP network
NNPIDDistub2
- 神经网络抗扰例子，通过动态调整PID参数，可以在新的对象模型下迅速稳定。
pso1hunhe
- 粒子群算法，基于粒子运动方向变异、两个学习因子分别变大变小，惯性权值非线性减小的改进-PSO, the direction of variation of the improvement
mg_smooth_step
- 多重网格法在step形状区域上的实现,三种不同光滑步可以实现.-Multi-Grid Method in the step shape of the region on the realization of three different smoothing step can be achieved.
yichuansuanfa
- 遗传算法，一个整合的文件，没有单独的文件。-Genetic algorithm, an integrated document, there is no separate files.
ELM2
- 神经网络算法，对输入数据进行神经网络训练，得到训练误差-Neural network algorithm, the input data of neural network training, get the training error
psobp
- 这是粒子群算法PSO与BP神经网络相结合的程序，调试通过的，具有通用性。-This is the particle swarm optimization PSO combined with BP neural network program, debug, and versatility.
ICA_CMAC
- 基于可信度的小脑神经网络算法ICACMAC-Based on the credibility of cerebellar network algorithm ICACMAC