搜索资源列表
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-hmmP
- 利用HMM算法来预测回转窑的喂煤量,以辅助工业现场的判断-Use HMM algorithm to predict the kiln feed coal to assist the industrial field judge
UQ-PyL_Linux.tar
- 优化计算程序包,适用于水文及生态模型的优化计算及参数校准。-Uncertainty quantification (UQ) refers to quantitative characterization and reduction of uncertainties present in computer model simulations. It is widely used in engineering and geophysics fields to assess and predict t
mackeyglass
- 产生两种makeglass数据，一定比例分割train、predict所言数据- generate make glass data
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.
HPI-PREDICT
- 房价指数预测HPI，用时间序列ARMA模型预测房价-HPI forecast
bayes
- 首先对数据进行拆分，分为测试集与训练集，通过训练集进行贝叶斯网络的建模，最后利用建立的模型进行预测或分类任务的R语言代码-First, the data is split into a training set and test set, Bayesian network modeling through the training set, and finally the use of the model to predict or classify tasks R language code
LSSVM-Used-in-the-diagnosis
- LSSVM用于乳腺癌的诊断和预测，数据挖掘和预测，通过MATLAB程序模拟预测数据。-LSSVM is used in breast cancer diagnosis and prediction, data mining and prediction, through MATLAB program simulation to predict the data.
bayes
- 使用朴树贝叶斯算法预测邮件是否是垃圾邮件-Use the Parker Bayesian algorithm to predict whether the message is spam
Arch Model
- 金融时间序列分析 1. 采用Pandas从Yahoo网上下载上市公司的5到10年的日收盘数据，上证指数的日收盘数据。 2. 计算上市公司和上证指数的收益率， 3. 针对上市公司收益率进行ARMA建模，确定P和q，并对残差进行分析，最后向前预测多期，显示预测图。 4. 针对上市公司收益率进行ARCH建模，确定阶数，并对残差进行分析，最后进行预测。 5. 针对上市公司收益率进行GARCH建模，确定阶数，并对残差进行分析，最后进行预测。(use Arch Model to ananlyse
python-logistic
- 对因变量为0-1属性变量，利用Logistic算法，对其进行回归预测(The dependent variable is the 0-1 attribute variable, and the Logistic algorithm is used to predict it)
air
- 利用天气情况预测空气质量的基础机器学习算法(A basic machine learning algorithm using weather conditions to predict air quality)
arima
- 时间序列法，通过过去数据来建立相应模型来预测未来数据(Time series, using past data to establish corresponding models to predict future data)
TensorFlow股票预测
- 利用TensorFlow和股票历史数据，进行数据挖掘，深度学习建模，实现对股票未来走势的预测(Using TensorFlow and stock historical data, data mining and deep learning modeling are used to predict the future trend of stocks.)
boston_housing
- 采用机器学习预测房价.使用波士顿房屋信息数据来训练和测试一个模型，并对模型的性能和预测能力进行评估。(Using Machine Learning to Predict House Prices)