搜索资源列表
test3
- PYTHON编写，网络小爬虫，用于爬取某网站书籍图片-network crawler
FullBNT-1.0.4
- Bayesian 神经网络，可用于模型构建中变量的筛选-Bayesian neural network，could be applied for variable selection in model construction
DeepLearnToolbox-master
- 深度神经网络工具包实现，可以作为工具包直接调用，方便应用-Depth neural network tool kit to achieve, you can directly call a toolkit for easy application
social-networks-mining
- 社会网络挖掘 随书配套代码下载，详尽，有效-Social Network Mining Codes matching with the book, detailed and effective
ann
- 神经网络的R语言程序，有分类的和回归的，可以直接运行-R programming language of neural network, a classification and regression, can be directly run!!!!!
nlp
- 基于贝叶斯网络的网络评论情感分类，Java实现，内附评论数据包-Based on Bayesian Network Web reviews sentiment classification, Java implementation, the packet included a review
SNA
- 复杂网络社团发现算法，包括重叠社团发现算法和一些非重叠社团发现算法。-Complex network community discovery algorithm
AgeEstimate
- 用bp神经网络估计鲍鱼年龄的简单小程序，包含8个输入特征，内含数据-A simple program utilizing BP neural network to estimate the age of abalone
PCA
- 这是基于MATLAB 的神经网络训练算法的源程序，希望对大家有用-This is based on the MATLAB neural network training algorithm source, we hope to be useful
mlp
- this code source implement artificial neural network by using multi layers perceptron whit xor sample test.- this code source implement artificial neural network by using multi layers perceptron whit xor sample test.
HCgai
- 贝叶斯网络结构学习爬山算法的改进方法，更准确-Improved Bayesian network structure learning climbing algorithm, more accurate
Multistep-Wind-Speed-Forecasting-Based-on-Wavelet
- Considering the randomness and volatility of wind, a method based on B-spline neural network optimized by particle swarm optimization is proposed to predict the short-term wind speed
PCA-AND-PNN
- 应用主成分分析对数据降维，将得到的数据用于概率神经网络训练，进行模式识别。对于一组新数据，先计算主成分得分，再输入训练好的概率神经网络，就会得到识别结果，即改组数据属于何种类别。-Principal component analysis of the data reduction, data will be obtained for the probabilistic neural network training, pattern recognition. For a new set of d
Bayesian-networks-for-Data-Mining
- 贝叶斯网络的介绍及其在数据挖掘和模式识别中的应用-Introduction Bayesian network and its application in data mining and pattern recognition
DeepLearning-master
- 深度学习的概念源于人工神经网络的研究。含多隐层的多层感知器就是一种深度学习结构。深度学习通过组合低层特征形成更加抽象的高层表示属性类别或特征，以发现数据的分布式特征表示。[1] 深度学习的概念由Hinton等人于2006年提出。基于深信度网(DBN)提出非监督贪心逐层训练算法，为解决深层结构相关的优化难题带来希望，随后提出多层自动编码器深层结构。此外Lecun等人提出的卷积神经网络是第一个真正多层结构学习算法，它利用空间相对关系减少参数数目以提高训练性能。[1] 深度学习是机器
BP
- bp网络的测试代码，使用C++编程，已测试通过，希望对大家有用，多多提意见。-Bp network test code, using c++ programming, has the tests pass, hope useful for everyone, a lot of advice.
CELF
- CELF算法是一种比较经典的社会网络影响最大化发现算法，算法的数据结构是采用邻接表-CELF algorithm is a kind of more classic social network influence maximization algorithm, algorithm of adjacency list data structure is adopted.
SimulatedAnnealing
- 社会网络影响最大化问题中的模拟退火算法，是格局爬上算法的一种优化算法，用于社会网络分析.-Social network influence maximization problem in simulated annealing algorithm, is a kind of pattern climb algorithm optimization algorithm, for social network analysis.
learn_struct_K2
- 本程序是贝叶斯网络结构学习的K2算法程序，可获取离散变量的贝叶斯网络-This procedure is K2 Bayesian network structure learning algorithm program, available discrete variables Bayesian Network
example_DAGlearn
- 程序是基于图论 , 对后验概率提取参数,使得很好的描述贝叶斯网络中变量之间的依赖关系-Program is based on graph theory, the extraction parameters on the posterior probability of such a good descr iption of the dependencies between variables in a Bayesian network