资源列表
tfwork
- tensorflow的使用练习，用python实现(Practice of using tensorflow)
GABP
- 神经网络预测数据,遗传算法优化权值和阈值，调用子函数包含在压缩包中(Neural network predicts data, genetic algorithm optimizes weights and thresholds, and calls the sub functions contained in the compression package.)
万门大学强化学习GridEvalu模型GridPolicy模型
- 万门大学，强化学习，Grid_world_evaluation模型算法代码实现， V(S) = V(S) + A * ( R(S) + r*V(new_S) - V(S) ) Grid_world_Policy模型， P(S) = P(S) + A * ( R(S) + r*P(new_S) - P(S) )(In the intensive learning of the University of Wan men, the Grid_world_evaluation algo
Irisflower-class-code
- 实验将Iris花的数据集分为2组，每组各75个样本，每组中每种花各有25个样本。其中一组作为以上程序的训练样本，另外一组作为检验样本。为了方便训练，将3类花分别编号为1，2，3 。 使用这些数据训练一个4输入（分别对应4个特征），3输出（分别对应该样本属于某一品种的可能性大小）的前向网络。(The data set of Iris flower was divided into 2 groups, 75 samples in each group. Each group had 25 sam
kriging
- javascr ipt 实现克里金插值。实现克里金插值渲染图--不依赖GP服务(Javascr ipt implementation of Kriging interpolation. The Kriging interpolation map rendering -- do not rely on GP services)
PC_ELM
- 极限学习机的改进型，可用于降维和图像重构(Autoencoder With Invertible Functions for Dimension Reduction andImage Reconstruction)
final
- lstm网络数据处理，网络训练以及权重自动训练更新。(data processing,network training and weight updating)
ART2py-master
- ART2（自适应共振理论）的python实现(Python implementation of ART2 (Adaptive Resonance Theory))
ga
- 这是一个可以完成装箱问题的遗传算法，很容易移植到各个地方。(This is a genetic algorithm that can complete the bin packing problem. It is easy to transplant to various places.)
基于Matlab的函数优化遗传算法程序
- 这是基于Matlab的函数优化遗传算法程序(This is based on Matlab's function optimization genetic algorithm program.)
风功率预测matlab
- 用matlab进行风功率预测，最小二乘法(wind power data prediction based on matlab)
New folder
- 采用粒子群算法对滑模控制器参数进行整定，对象为倒立摆(The particle swarm optimization algorithm is used to adjust the parameters of the sliding mode controller. The object is inverted pendulum.)