Welcome![Sign In][Sign Up]
Location:
Search - Neural Network train test matlab

Search list

[SourceCode基于Gabor特征提取和人工智能的人脸检测系统源代码

Description: Version : 5.0 (New Version) 1- copy all files and directories to the MATLAB's work folder * In order to run the program you must have Image Processing and Neural Networks Toolboxes 2- find the file named "main.m" 3- Double click on this file or type "main" in the command window 4- a menu will be shown . click on "Train Network" and wait until the program is done with the training 5- click on "Test on Photos". A dialog box will be appeared. Select a .jpg photo 6- Wait until the program detects some
Platform: | Size: 1003517 | Author: tyc5689123 | Hits:

[AI-NN-PRMLPNetworksimulation

Description: Matlab 下 BP 神经网络的举例及详细说明。美国大学的一个实验。 虽然是 PDF文件,但程序可以直接粘贴下来运行。-The process to train and test a designed MLP neural network : 1) We make training patterns and test patterns. 2) A network architecture should be defined by newff MATLAB function with the number of layers, neurons and transfer functions. 3) The defined neural network architecture is trained by train MATLAB function with input patterns and training parameters. 4) We can easily check the result by using a sim MATLAB function.
Platform: | Size: 100352 | Author: zhulz | Hits:

[Graph Recognizefdp5final

Description: Face Detection System 基于Gabor特征提取和人工智能的人脸检测系统源代码 使用步骤: 1. 拷贝所有文件到MATLAB工作目录下(确认已经安装了图像处理工具箱和人工智能工具箱) 2. 找到"main.m"文件 3. 命令行中运行它 4. 点击"Train Network",等待程序训练好样本 5. 点击"Test on Photos",选择一个.jpg图片,识别。 6. 等待程序检测出人脸区域 createffnn.m, drawrec.m, gabor.m, im2vec.m, imscan.m, loadimages.m, main.m, template1.png, template2.png, trainnet.m-Face Detection System Face Detection using gabor feature extraction and neural networks
Platform: | Size: 227328 | Author: 郑碧波 | Hits:

[OS programFaceDet(Gabor_netWork)

Description: 使用Gabor特征提取和神经网络的人脸检测,里面带有人脸和非人脸的训练图库,检测效果很好。 运行该程序: 1 -所有文件和目录复制到MATLAB的工作文件夹 *-为了运行程序,你必须有图像处理和神经网络工具箱 2 - 找到名为“main.m”的文件 3 - 双击这个文件或在命令窗口中的“主”类型 4 - 将显示一个菜单。点击“火车网”,并等待,直到程序完成培训 5 - 点击“照片上的测试”。将出现一个对话框。选择一个。JPG图片 6 - 等待,直到程序检测到一些面孔 -Gabor feature extraction and neural network face detection, which with a human face and non-face training Gallery detection works well. Run the program: 1- all files and directories copied to MATLAB work folder*- In order to run the program, you must have image processing and neural network toolbox- find a file named " main.m" - double-click on the file or " master" in the command window type- will display a menu. Click on the train network, and wait until the process is complete training- Click the photo test. A dialog box appears. Select one. JPG picture- wait until the program detects some faces
Platform: | Size: 19137536 | Author: 朝颜 | Hits:

[File Formatxiaoboshenjingwangluo

Description: 提出了采用小波包的方法对供暖双吸式离心水泵轴承振动信号进行去噪和提取表征 相应轴承故障的频带能量 并采用 BP 神经网络进行训练和故障识别 通过 MATLAB 进行了仿真经试验验证该方法能够有效地识别出轴承故障-The wavelet package is adoptted to De-noise and extract band energy that represent bearing fault. and the BP neural network is adopting to train and recognize faults. Through MATLAB simulation, After the test validate the method, it can effectively recognize the bearing fault.
Platform: | Size: 458752 | Author: 侯蒙蒙 | Hits:

[Graph Recognizebpshuzi

Description: 通过Matlab基于BP神经网络实现数字0~9的识别。首先创建50个训练样本供网络学习,根据训练样本的特点确定输入层、输出层神经元个数,并确定隐含层神经元个数,完成对BP神经网络的设计;然后将训练样本输入BP网络中,完成对网络的训练;最后通过20个测试样本测试训练完成的网络性能,并显示识别结果。-Digital  recognition based on BP neural network.First according to the  characteristics of the training samples create the  50 training samples  to determine the input  layer and output layer  neuron number,and ,  and determine  the number of hidden layer neurons:complete the design  of the BP neural network   input the training sample  in the BP network,  train the network    finally, 20  test  samples  training  test the performance of BP neural network ,  and display identification results .
Platform: | Size: 1024 | Author: 璇璇 | Hits:

[matlabkrdxkyqc

Description: pwm整流器的建模仿真,BP神经网络用于函数拟合与模式识别,相参脉冲串复调制信号,本科毕设要求参见标准测试模型,通过反复训练模板能有较高的识别率,复化三点Gauss-lengend公式求pi,MIMO OFDM matlab仿真,鲁棒性好,性能优越。- Modeling and simulation pwm rectifier BP neural network function fitting and pattern recognition, Complex modulation coherent pulse train signal, Undergraduate complete set requirements refer to the standard test models, Through repeated training nwPGHKblate have higher recognition rate, Complex of three-point Gauss-lengend the Formula pi, MIMO OFDM matlab simulation, Robustness, superior performance.
Platform: | Size: 13312 | Author: uyvgrwz | Hits:

[matlabpxwzkhig

Description: 有PMUSIC 校正前和校正后的比较,相参脉冲串复调制信号,相关分析过程的matlab方法,基于人工神经网络的常用数字信号调制,最大信噪比的独立分量分析算法,本科毕设要求参见标准测试模型。- A relatively before correction and after correction PMUSIC, Complex modulation coherent pulse train signal, Correlation analysis process matlab method, The commonly used digital signal modulation based on artificial neural network, SNR largest independent component analysis algorithm, Undergraduate complete set requirements refer to the standard test models.
Platform: | Size: 6144 | Author: fbrrwtj | Hits:

[Othermccullotch-pitt-matlab-code

Description: The following Matlab project contains the source code and Matlab examples used for neural network (mlp) robot localization. Comparison with ground truth and triangulation provided, with varying amounts of gaussian noise added in train and test data. GUI is in Portuguese, but self-explanatory. English version will be provided soon. The following Matlab project contains the source code and Matlab examples used for neural network mccullotch pitt matlab code . neural network Mccullotch pitt matlab code or and andnot logics The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.
Platform: | Size: 1024 | Author: sina | Hits:

[Other建模

Description: 利用matlab2012a,制作两个excel表格,一个是建模集train,另一个是验证集test,然后就可以构建出人工神经网络模型bp,之后再用验证集做外部验证。(Using MATLAB 2012a, two excel tables are made, one is the modeling set train, the other is the validation set test, then the artificial neural network model BP can be constructed, and then the validation set is used for external validation.)
Platform: | Size: 4186112 | Author: 天池1 | Hits:

CodeBus www.codebus.net