搜索资源列表
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
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!!!!!
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
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
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
convnetjs-master
- 基于C#开发的深度神经网络网页版。将文件夹拖动至浏览器即可使用功能。包括CNN、DBN等多种深度学习思路。-Based on C# development of depth Neural Network Web version. Drag the folder to the browser functionality. Including CNN, DBN and other deep learning ideas.
python-quantitive
- python 分类算法量化投资 SVM 神经网络算法 沪深300指数-python classification algorithm quantitative investment
BasicELM
- 用一个简短的例子说明了随机权神经网络算法，算是对深度学习的入门的一个小的巩固-With a brief example illustrates the random weights neural network algorithm, considered for entry-depth study of a small consolidation
bp
- 可以采用神经网络对时间序列进行预测，具有较好的效果-The neural network can be used to predict the time series, which has better effect.
GA-BP
- 运用种群遗传算法优化BP神经网络的权值和阀值-The use of genetic algorithm optimization BP neural network weights and thresholds
SVM
- 支持向量机神经网络的信息粒化时序回归预测代码案列，代码易于修改-Support Vector Machines Neural Network Information granulated series regression predictive code text column, easy to modify the code
DBNtoolbox-master
- 深度学习DBN（深信度网络）代码，概率生成模型，与传统的判别模型的神经网络相对，生成模型是建立一个观察数据和标签之间的联合分布。-Deep learning DBN (Convinced of the network) code generation probability model, and neural network models of traditional discrimination relatively generated model is to establish a join
code
- （神经网络）多个隐含层的多层感知器网络训练数据得到网络，并使用测试数据统计所设计多层感知器的平均识别正确率-Multi layer perceptron network training data with multiple hidden layers is obtained, and the average recognition accuracy of the multi-layer perceptron is designed by using the test data statisti
DL4J_LSTM
- deeplearning4j依赖下，Java实现神经网络LSTM算法，DailyData.class实现数据结构，StockDataIterator.class进行数据预处理-deeplearning4j dependent under, Java LSTM realize neural network algorithm, DailyData.class data structure, StockDataIterator.class data preprocessing
zonghexunlian
- 信息智能分析综合作业，神经网络,chongqing-Comprehensive information intelligence job analysis, neural networks, chongqing
hopfield
- hopfield神经网络的实现，里面含有丰富的源代码，可以运行-Hopfield neural network to achieve, which contains a wealth of source code, you can run
ELM
- 一种神经网络算法：极限学习机（ELM)，包括分类和回归，仿真验证无误，适合初学者练习(A data mining algorithm: limit learning machine (ELM), including classification and regression, simulation verification is unmistakable, suitable for beginners to practice)
GA-BP; BP神经网络各种案例，BSO天牛群，CEEMD分解，EMD工具箱，PSO优化，rBAS,LSTM各种实际案例
- GA-BP; BP神经网络各种案例，BSO天牛群，CEEMD分解，EMD工具箱，PSO优化，rBAS,LSTM各种实际案例，代码基于matlab和python