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bp_number_recongnition
- 是关于利用BP神经网络来识别数字图像的，代码是需要经过编译才可以用。-BP is on the use of neural networks to identify the digital image, the code is compiled only need to be used.
HandIdentifyRate
- BP神经网络手写体识别。BMP图像训练后，进行识别率的计算
20081022
- 基于人工神经网络的图像识别方法研究。基于神经网络的人脸检测研究。基于特征融合与神经网络的手写体数字识别技基于遗传神经网络的手写体数字识别研究术研究。基于遗传优化的神经网络的银行票据手写数字识别。一种改进的人工神经网络模型-Based on artificial neural network image recognition method. Neural Network Based Face Detection Research. Based on Feature Fusion and Neur
chexingshibie
- 一种用于图像目标识别的神经网络及其车型识别应用-A target for image recognition neural network and its application of models to identify
abcd
- 几种手写体汉字网格方向特征提取法并与神经网络在图像识别中应用-study of several handwritten chinese character directional feature extraction approaches
nRecognition
- 神经网络数字识别，包括数字图像以及识别的matlab代码。-Neural network digital identification, including digital images, and recognition matlab code.
project3
- 使用BP神经网络来识别彩色图像的类. 自己取采样样本-apply the backpropagation neural network to classify a color image you choose. You need to determine the number of classes and select the training samples by yourself.
imrecognition
- 用BP网络进行图像识别。先对两类图像进行训练，然后输入测试图片测试，用神经网络来识别 -image recognition based on BP neutral network
ju_bubianliang
- 用于边缘图像不变矩的计算，得到的七个不变矩可用于神经网络进行识别。-Used for the calculation of moment invariants edge image, and get seven invariant moments can be used for neural network to recognize.
Image-contour-extraction
- 图像形状提取:加入了神经网络识别，即提取出每幅图像的7阶矩特征后，送入神经网络进行识别-Image shape extraction: joined the neural network recognition, namely the extraction of each image in the7order moment characteristics, into the neural network identification
CNN Matlab代码
- 利用大量图像数据对卷积神经网络算法进行训练，通过卷积、池化、下采样以及全连接层训练后的卷积神经网络在图像识别精度越来越高。(By using a large number of image data to train the convolutional neural network algorithm, the accuracy of the image recognition is higher and higher by convolution, pooling, down sampling
cnn-示例
- 卷积神经网络的结构模型，可实现对图像进行训练与识别(The structure model of the convolution neural network can realize the training and recognition of the image)
darknet-master
- 是一种神经网络框架，在其基础上可以实现物体检测，图像分类，模式识别功能。(Darknet is a neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do righ
lenet5
- 此例为神经网络中lenet5的框架，适合学习图像识别、cnn的人学习(This is the framework of the lenet5 neural network, image recognition, suitable for learning to learn CN)
NNPic
- 对图像的亮度分布曲线进行人工智能学习，并分类的多隐含层的BP神经网络(The BP neural network of the multi hidden layer of artificial intelligence learning for the brightness distribution curve of the image and the classification of the multi hidden layer)
CNN_matlab
- 卷积神经网络（CNN）是一种深度学习方法，它可以对图像进行识别和特征分类等优点。(The convolution neural network (CNN) is a deep learning method which can identify and characterize the image.)
Machine learning
- 提供监控场景下多张带有标注信息的行人图像，可定位（头部、上身、下身、脚、帽子、包）的基础上研究行人精细化识别算法，自动识别出行人图像中行人的属性特征。(It provides a number of pedestrian images with tagged information under the monitoring scene, and can study the pedestrian refinement recognition algorithm based on the locat
Residual-Networks
- 残差神经网络的Python实现,用于机器学习的图像识别方向。(Python implement on Residual Network)
BCI_MI_CSP_DNN
- BCI_MI_CSP_DNN是一种基于matlab的运动图像脑电信号分类程序。 基于matlab深度学习工具箱编写了BCI_MI_CSP_DNN程序 本程序的原理基于CSP和DNN算法 这个程序的性能是基于BCI竞赛II数据集II 提出了一种基于深度学习的运动图像脑电信号分类方法。在预处理原始脑电图信号的基础上，采用共空间模型(CSP)方法提取脑电图特征矩阵，并将其输入深度神经网络(DNN)进行训练和分类。我们的工作在BCI Competition II Dataset III上进行了实
MATLAB雾霾交通标志shibie[GUI]
- 该课题为基于MATLAB bp神经网络的雾霾天气下交通标志的识别系统。主要分两步骤，一是进行图像去雾，采用暗通道的方法获取光透射率，从而去除雾霾。得到清晰的图片后，利用颜色的方法进行交通标志的定位，众所周知，交通标志基本是红，蓝，黄三色组成，根据RGB不同组合可以定位到不同颜色，因为存在误差，所以需要借助形态学相关知识，将得到的误干扰面积去除，从而实现精准定位。定位后，在原图基础上进行分割出彩色图标，利用bp神经网络方法，进行训练，识别，从而得出结果。本设计配有一个GUI可视化界面，操作简单容易