资源列表
neural-networks-and-deep-learning-master
- 用不同的方法实现了神经网络（没有用第三方库，就是用numpy等实现的，对于初学者来说是不错的深入了解神经网络的素材）(Using different methods to achieve the neural network (not using third square libraries, that is, using numpy and so on, for beginners is a good understanding of the neural network material))
processFFNN
- Progran For process forward neural network
CWSS17.1.1.4
- 基于隐马尔科夫模型的中文分词系统，上交ieee专业大一作业，界面一般，主要用于学习，在此分享，注：开发环境python3.5(Based on Hidden Markov model of Chinese word segmentation system, on the IEEE professional freshman job, interface is common, mainly used for learning, in this share, note: development en
C# 无人机地面站
- 无人机地面站控制系统。支持大疆无人机，左右上下(UAV Ground Station Control system)
Rectifier_spwm2
- A three-phase diode rectifier converts a three-phase AC voltage at the input to a DC voltage at the output.
RB1705_BP
- 使用matlab，通过bp前导神经网络，分析螺纹钢1705，预测第二天的走势，数据库采用wind的数据库。准确率尚可。(The use of MATLAB, through the BP leading neural network analysis of rebar 1705, predict the trend of second days, the database using wind database. The accuracy rate is acceptable.)
GA-BP神经网络应用实例之MATLAB程序
- 使用MATLAB编写的GA-BP神经网络，可进行多组数据处理 % gap.xls中存储训练样本的原始输入数据 37组 % gat.xls中存储训练样本的原始输出数据 37组 % p_test.xls中存储测试样本的原始输入数据 12组 % t_test.xls中存储测试样本的原始输出数据 12组(MATLAB implementation of the GA-BP neural network,% gap.xls stored in the training sample of the
《MATLAB 神经网络43个案例分析》源代码&数据
- MATLAB智能算法30个案例分析 附源代码和数据(MATLAB intelligent algorithm 30 case analysis with source code and data)
NeuralNetwork_RBF
- RBF神经网络实现，MATLAB平台。附训练和测试数据(RBF neural network implementation, MATLAB platform. With training and test data)
DeepLearningImageClassificationExample
- 使用2012Imagenet数据大赛深度学习网络为架构的卷积神经网络，可进行多类数据分类任务(Using the 2012Imagenet Data Contest Deep Learning Network for Architectural Convolution Neural Networks, Multiple Class Data Classification Tasks)
weighted_median_filter_approx
- 加权引导滤波的一般实现方式，内有代码注释(A general implementation of weighted bootstrap filtering with code annotations)
基于遗传神经网络的图像分割
- 利用神经网络进行图像分割，对于初学者有很好的使用价值。(Image segmentation using neural networks)