资源列表
11
- 基于弹性BP的数字手写体识别，利用弹性BP神经网络设计的数字手写识别算法。附录文档说明-BP neuralnetwork
the-dog
- 非洲野狗优化BP算法代码及结果具体算法案例-The African wild dog BP algorithm code and the specific case
GA-BP
- 神经网络遗传算法用于非线性函数的极值寻优matlab代码-Extreme Optimization matlab code of neural network genetic algorithm for nonlinear function
RBF
- 径向基神经网络应用实例，包括异或问题，RBF网络曲线拟合，GRNN网络曲线拟合，PNN网络用于坐标点分类-RBF neural networks used, including XOR problem, RBF network curve fitting, GRNN network curve fitting, PNN network to coordinate points classification
LFMfangzheng
- 在很多实际场合下，平稳性的假设往往不能成立，此时就需要引入非平稳信号或时变信号的分析与处理。所谓的时变是指信号的统计特性随时间变化。由于信号的这种性质，传统的傅立叶分析方法无法令人满意。对于时变信号，了解不同时刻附近的频域特征是至关重要的，因此，人们往往采用时间－频率联合描述的方法描述时变信号。-In many practical situations, stationarity assumptions often can not be established, then we need to
SFKF
- 强跟踪滤波器，可用于最优估计,用于故障诊断-strong kalman filtering
Ada_SVM
- AdaBoost 和SVM 组合 分类识别代码-combine AdaBoost and SVM to classification
PG_DEEP-master
- A fast learning algorithm for deep belief nets 文章代码-2006 A fast learning algorithm for deep belief nets
Sparse-Autoencoder
- 稀疏编码算法是一种无监督学习方法，它用来寻找一组“超完备”基向量来更高效地表示样本数据-2006 A fast learning algorithm for deep belief nets
GA-PSO-BPnn.pdf
- 基于GA-PSO-BP组合的神经网络应用研究，有需要请下载。-Application of Neural Network GA-PSO-BP portfolio based on the need to download.
dianqirailway
- 电气化铁路，用simulink搭建模型，设计协同控制，为高铁及动车组列车主要控制方式。-Electric railway, using Simulink to build model, design collaborative control, the main control mode for high-speed rail and EMU trains.
MPGA
- 基于多种群遗传算法的MATLAB程序，解决无线传感器网络布局优化问题。-Based on multi-population genetic algorithm MATLAB program to solve the problem of wireless sensor network layout.