搜索资源列表
BP net detect number
- 基于bp神经网络的数字识别系统-Number recognition system based on the BP Artificial Neural Network
Gesture-Recognition-
- 本文提出一种用于手势识别的新方法，它将图像的方向直方图矢量(0Hv)与神经网络相结合。其特点在于选用 图像的方向直方图矢量作为手势的特征矢量，该特征矢量对于光线和手的平移变化具有较强的鲁棒性，这正是手势识别所要 解决的关键问题。在训练阶段，首先需要建立手势样本的特征矢量库；在识别阶段，本文选用三层BP网络作为分类器，获得 了90％以上的识别率。本文还对手势进行一定角度的旋转后的识别进行了讨论，识别结果达到预期要求。-In this paper，a new method of gest
ver_0.82
- 此文件包包含用卷积神经网络识别手写输入的识别程序，数据可从MNIST下载-This release includes sample of handwritten digits recognition using CNN. If you just want to try it run cnet_tool. You ll see a simple GUI. It loads pretrained convolutional neural net from cnet.mat and recognize
letter-distinguish-based-on-BP-net
- 本设计运用MATLAB工具箱确定隐层神经元的个数和构造BP神经网络，并用两类不同的数据对该神经网络进行训练，然后运用训练后的网络对字符进行识别-The use of design the MATLAB toolbox to determine the the the the number of and tectonic of of the of hidden layer neurons BP neural network, and use two types of different data
mycnn
- 卷积神经网络识别字符的Matlab程序，包含所需的所有素材和自己改进的一部分代码-Convolutional neural network for handwriten digits recognition: training and simulation. This program implements the convolutional neural network for MNIST handwriten digits recognition, created by Yan
net
- 一篇关于字符识别的论文，其中用到了改进的神经网络算法，是学习神经网络算法的很好的文章。-A paper on character recognition, which uses the improved neural network algorithm, is a good article to learn neural network algorithm.
conv-net-0.1
- 这是卷积神经网络在字符识别的应用，大家可以学习学习。-This is a convolution neural network character recognition application, we can learn it.
rkn1210
- graph plot neural net