搜索资源列表
Russinov
- Nussinov算法，预测rna二级结构-This program implements Nussinov algorithm on predicting RNA structure from RNA sequence using dynamic programming approach. The baisic idea is similiar with Smith-Waterman algorithm, obtaining optimal result about predicting RNA
LinkPrediction
- 链路预测程序，Python源代码(link prediction)(Link prediction program, Python source code (link prediction))
python机器学习预测分析核心算法
- 机器学习预测分析python程序，很有用的啊，希望对大家有帮助(Machine learning prediction analysis Python procedures, very useful ah!)
anymin
- 本程序使用GMDH网络对交通的流量进行预测，输入的数据为连续n天的m组流量数据。 输出数据为第n+1天的m组的流量的预测数据。 每个神经元的学习方式为widrow-hoff 在学习过程中，每一层否挑选15个优秀的神经元保留到下一层(This procedure uses GMDH network traffic flow prediction, the input data for the continuous n days of M group traffic data. The ou
LSTM
- 用于运行LSTM的预测代码，例子是国际航班客流量。使用语言为python.(The forecast code used to run LSTM is an example of international flight traffic. The language used is python.)
chapter6
- 电力用户窃电大数据仿真，利用拉格朗日差值法和机器学习算法进行数据处理，有效预测。(The power user theft of large data simulation, the use of Lagrange difference method and machine learning algorithm for data processing, effective prediction.)
Shanghai-Au-Futures-master
- 上海房价预测，实现为 python + keras + tensorflow，包含数据文件(Shanghai house price prediction is implemented as Python + keras + tensorflow, including data files)
house_price
- Python语言，房价预测，简单线性回归，TXT类型数据。(Python,House price forecast)
house_predict
- 房价预测系统，利用python语句实现，在读入数据后，利用神经网络训练数据特征，从而实现推荐。(The house price forecasting system is realized by Python statement. After reading the data, the data features are trained by neural network to realize recommendation.)
SVR
- SVR源码以及详细交通流预测模型，里面有SVM，SVR，LSSVM(SVR source code and detailed traffic flow prediction model, including SVM, SVR, LSSVM)
08神经网络逼近股票收盘均价2
- python演示神经网络来逼近股价走势的预测，基于时间序列的预测(Python demonstrates neural network to approximate the prediction of stock price trend, based on time series prediction)
0泰坦尼克号获救预测
- 数据挖掘实例，kaggle，泰坦尼克号数据挖掘(Data mining examples, kaggle, Titanic data mining)
arima预测（附Python和测试数据）
- 这是一个用python进行ARIMA预测的一个程序，希望能给各位带来帮助。(This is a python for ARIMA prediction of a program, I hope you can help.)
神经网络时间序列预测
- 利用python 构造人工神经网络 做时间序列预测分析(Time series prediction based on artificial neural network)
财务数据机器学习案例
- 用序列模型建立的简单的财务数据预测，python实现，内含代码和测试数据(A simple financial data forecast based on sequence model, implemented in Python, with code and test data included)
load_RNN
- python 电力负荷预测，rnn版本，python环境(Python power load forecasting, RNN version, python environment)
23_time_series_prediction
- 用 Python 机器学习，时间序列模型预测， 循环神经网络(Python Machine Learning, Time Series Model Prediction, recurrent Neural Network)
股票市场预测
- LSTM 作为预测模型，使用贝叶斯优化算法来实现股票预测的功能(LSTM as a prediction model, uses Bayesian optimization algorithm to achieve the function of stock forecasting)
Python深度学习实战_原书代码
- 深度学习正在为广泛的行业带来革命性的变化。对于许多应用来说，深度学习通过做出更快和更准确的预测，证明其已经超越人类的预测。本书提供了自上而下和自下而上的方法来展示深度学习对不同领域现实问题的解决方案。这些应用程序包括计算机视觉、自然语言处理、时间序列预测和机器人。(Deep learning is bringing revolutionary changes to a wide range of industries. For many applications, deep learning p
hybrid-ARIMA-LSTM-model-master
- 使用LSTM-ARIMA模型进行混合预测，ARIMA做线性部分的预测，LSTM做非线性部分(LSTM-ARIMA model is used for mixed prediction, ARIMA for linear prediction and LSTM for nonlinear prediction)