搜索资源列表
BP
- 这是一个用C#编程的BP人工神经网络算法的程序。-This is a C# programming with BP artificial neural network algorithm procedure.
src_Backprop_ANN_XOR
- 人工神经网络ANN多层感知器BP神经网络算法的C#源代码，一个外国人编写，供大家研究学习使用。-ANN artificial neural network MLP BP neural network algorithm C# source code, a foreigner writing for everyone to learn.
BP(cSharp)
- 基于.net环境下C#语言开发的改进的BP神经网络算法-Based. Net C# language developed under the improved BP neural network algorithm
Bp
- BP网络实现建模,用户界面友好，展示出训练误差、回想误差、测试误差曲线-Bp net is used to model
DigitalIdentificationSystem
- 针对数字图象识别在国防应用领域中的技术进行相关论述，同时将以上项目中的DEMO分享出来，本项目使用了图象灰度处理、二值化HSB处理、锐化处理、去噪处理、滤波处理、OCR识别、切割及体征对比识别、BP神经识别等相关图象技术一起，希望可以提供相关人员使用。-Image recognition for digital applications in the field of national defense technology related discussion item at the same
code
- 针对实际项目采用了webservice进行搭建分布应用及多线程进行分布式并行开发应用。本项目主要针对图象学的图象处理对已存在的图象进行数字识别，本项目还利用BP神经网络（人工智能）技术进行识别应用，本项目采用OCR、体征、BP三种识别方法进行有效识别，识别效率达到98 -100 ，运行效率95ms/56ms/0.9ms。-Webservice used for the actual project to build distributed applications and multi-threa
NeuralNet_BP
- using C# implement BP neural network
bp_test
- 利用人工智能，神经网络中的BP网络实现的，可以有效识别手写体数字-Using artificial intelligence, neural network BP network, and can effectively identify the handwritten numeral
BPNETwithCSharp
- BP算法源代码，绝对可以运行,用户可以十分放心的下载哦。-BP source code ,download it without warrying.
NerulNetwork
- 使用 C# 编写的BP神经网络程序源码。-BP nural networks algorithm implement by CSharp
Bbp__1zipP
- BP神经网络用Visual C。NETT的 CSHARP开发，是任意输入，单数出 -BP neural network with Visual C. The NETT the CSHARP development of, any input, single-count
BP-neural-network-CSharp-language
- BP神经网络C#语言实现，基本上每个C#语句都有文字说明。-BP neural network is made by C# language, basically each C# statement has a textual descr iption.
fei_kf15
- The entire training process BP neural network, High-resolution array signal processing estimates, There are good reference value.
jr335
- For lack of EMD, Principal component analysis model for establishing, BP neural network function fitting and pattern recognition.
accyr
- Linear array using cut than learning laid upon the right control of the main sidelobe ratio, ML estimation method can be a good signal to noise ratio, The entire training process BP neural network.