搜索资源列表
CBPNET
- BP神经网络VC类，此类对BP神经网络进行了封装，整个类是基于动态构建，可以适合于任何采用BP神经网络的模式识别应用。-BP neural network VC categories, such BP neural network to a package, the whole category is based on dynamic construction, and is suitable for use in any BP neural network applications of pa
PSONet
- 应用PSO训练神经网络Visual C++ 训练结果优于BP,该方法用于模式识别、知识挖掘等-PSO application for training the neural network training Visual C BP superior results, the method for pattern recognition, knowledge mining, etc.
自组织
- 自组织神经网络,用于模式识别以及故障智能诊断。 -self-organizing neural networks for pattern recognition and intelligent fault diagnosis.
CHAPT3
- 神经网络模式识别及其实现，第三章。为大家提供参考。-pattern recognition and neural network to achieve, the third chapter. To provide a reference.
CHAPT4
- 神经网络模式识别及其实现，第四章。 内含：ALOPEX和BACKPROP程序。-pattern recognition and neural network to achieve, the fourth chapter. Intron : ALOPEX BACKPROP and procedures.
CHAPT8
- 神经网络模式识别及其实现，第八章。 内含：KMEANS 、KOHONEN 、LVQ 、SOFM 算法。-pattern recognition and neural network to achieve, Chapter VIII. Intron : KMEANS, KOHONEN, LVQ, SOFM algorithm.
CHAPT9
- 神经网络模式识别及其实现，第九章。 内含：HOPFIELD和LAM -pattern recognition and neural network to achieve, chap. Intron : LAM and HOPFILED
CHAPT10
- 神经网络模式识别及其实现，第10章 内含：ART 和VQ 算法。 终于上传完，本来想一次性发上来的，但结果失败了，只好一个一个发。-pattern recognition and neural network to achieve, Chapter 10 consisting of : ART algorithm and VQ. Finally upload End, originally wanted onto a one-time, but the result of the fai
123BRAIN
- 是一个应用软件,基于神经网络的应用,神经网络模式识别及其实现-is a software application, based on the application of neural networks, neural networks and pattern recognition to achieve
200506180038
- 神经网络模式识别及其实现 -pattern recognition and neural network to achieve pattern recognition and neural network to achieve
2006215183015
- CPLD的程序，用住于虚心的学习神经网络模式识别及其实现-CPLD procedures used to live modestly in the learning neural network and pattern recognition to achieve
BP
- 这个算法是基于BP神经网络开发的，用于音识别的一个新型算法，可以扩展用于其他领域的模式识别问题。(It is an algorithm for speech recognition based on BP neural network.)
962569
- 通过已知的先验概率,在输入训练序列之后,可以对数值进行判别是属于哪一类的数据,简单可以应用于模式识别()
emd+信息熵
- 可以实现机械EMD经验模态分解，提取特征量并利用神经网络进行模式识别故障类型(The empirical mode decomposition of mechanical EMD can be realized, feature quantity is extracted and neural network is used to identify the type of fault.)
BPnetwork_code
- 手写体数字识别是模式识别中一个非常重要和活跃的研究领域，数字识别也不是一项孤立的技术，它所涉及的问题是模式识别的其他领域都无法回避的；应用上，作为一种信息处理手段，字符识别有广阔的应用背景和巨大的市场需求。因此，对数字识别的研究具有理论和应用的双重意义。(Handwritten numeral recognition is a very important and active research field in pattern recognition, digital recognition
bishe
- 使用BP神经网络，对异步电机故障识别的一个简单小例子。(Using BP neural network, a simple example of fault recognition of asynchronous motor is presented.)
神经网络与模式识别_丁铖_2017140818
- bp神经网络，用于风力发电机的故障分类，可用于二分类和多分类，已经线性回归和非线性回归(Bp neural network for fault classification of wind turbines, can be used for two-class and multi-classification, has linear regression and nonlinear regression)
38247892wavenet
- 一种基于小波理论的人工神经网络，可用于模式识别（分类）等小型实验(An artificial neural network based on wavelet theory can be used in small experiments such as pattern recognition (classification))