搜索资源列表
BPNN.py
- BP全称为Back Propagation，意思为反向传播，该方法是用来对人工神经网络进行优化的，即误差反向传播算法。-BP full name is Propagation Back, mean back propagation, the method is used to optimize the artificial neural network, that is, the error back propagation algorithm.
bpnn
- BP神经网络的MATLAB源程序,运用在VANET中的行程时间预测当中,数据来自DELFT-GEOLAB平台中的实时数据-BP neural network MATLAB source code, used in VANET the travel time prediction, among DELFT-GEOLAB data real-time data platform
v1.9
- 程序用vc6.0编写，基于离散余弦变换DCT和bp神经网络的人脸识别。采用ORL人脸库，对图像进行DCT低通滤波，再用BPNN进行训练或识别，样本空间内识别效果好。设计流程参考了本站 yaxuan 的v3.3(http://www.pudn.com/downloads330/sourcecode/math/detail1452162.html)(本程序不包含原作的粒子群修正权值及网络结构调整等功能，但调整了训练样本的排列顺序) 感谢原作者，若有侵权我会删除此上传^ ^-Vc6.0 procedu
bpNN
- liangge xin hao 特征提取后用bp神经网络进行识别-BP feture extract
matlab-BPNN-code
- matlab语言的神经网络开源源程序 实际可用来分类预测模式识别-MATLAB language neural network source code can be used to classify the actual pattern recognition
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.
BPNN-Classification
- 利用BP神经网络实现三类物体的分类,包含MATLAB和C#两种实现。-Using BP neural network to classify three types of objects.
BPNN
- 采用matlab实现BP神经网络的数据分类-语音特征信号分类-BP neural network using matlab realize data classification- the speech characteristic signal classification
BPNNdemo
- BPNN be used in function fitting
GRNN_V4
- matlab实现grnn and bpnn 比较用于3d打印机的选择-matlab achieve grnn and bpnn comparison for selecting a 3d printer
bpnn
- BP神经网络的简单例子，使用C++编写。-Simple example of BP Neural Network
ANN
- 通过BPNN神经网络预测时间序列值,已经调试好的程序，-BPneural network
BPNN-master
- 反向传播神经网络,两输入两隐含单元一输出(Backpropagation Neuron Network)
bpnn
- BP反向传播神经网络算法，包括数据预处理部分(this zip include BP back propagation Neural network algorithm and the data preprocessing section)
GA-BPNN完整实例
- GA_BPNN，里面有详细的代码和注释，能够很快入手，值得推荐！(LG_BPNN use and annotations, with detailed code and comments study quickly it is recommended!)
BPNN
- 该文件提供BP神经网络的源代码。(The file provides the source code of the BP neural network)
GA-BPNN
- 遗传算法优化BP神经网络-非线性函数拟合(BP neural network optimized by genetic algorithm for nonlinear function fitting)
BP_分类
- 用BP神经网络做的分类的一个小例子，基于python写的(python BPNN classification)
BPNN
- 能够实现bP算法，数据集使用的是iris里面的花卉相关的数据，训练集是0.7，测试集是0.3.(BP algorithm can be realized)
bpnag
- Forecast using bpnn.arsitek.akt func