搜索资源列表
LmNet_PF
- LmNet PF 神经网络预测平台是公司基于最优神经网络算法(Levenberg-Marquardt动量项法)开发的通用预测平台工具。它是针对用户进行预测需要，快速构建神经网络应用的通用预测平台，它能解决包括销售量预测、销售价格预测、成本预测、市场潜力预测、新产品价格预测等方面的预测分析。功能包括：新建、修改网络模型；网络训练；网络仿真；误差分析；专家样本数据自动生成；节点配置；数据归一化处理；网络参数初始化设置等。~..~ -Neural Network Prediction LmNet
ARBF
- 自适应RBF网络用于电价预测，根据训练数据自动确定分类数，不需要人工确定。-Adaptive RBF Network for price forecasting！
BPNet
- 改进神经网络用于电价预测，实例说明，数据和程序齐全。-Improve the neural network used for price forecasting, examples, data and complete the procedure.
Reference-value-of-the-stock-price-
- 参考价值高股价预测的非线性方法研究——神经网络预测方法-Reference value of the stock price forecasting nonlinear method- Neural network prediction method
9klmn4.ZIP
- 考虑负荷周期性和变化率的短期电价预测Considering the load cycle and rate of change of the short-term electricity price forecasting-Considering the load cycle and rate of change of the short-term electricity price forecasting
gsyc
- 金融爱好者必备装备，股市价格预测的MATLAB程序源码-Financial enthusiasts necessary equipment, MATLAB program for the stock price forecasting
GBM
- GBM 基于蒙特卡洛法的股票价格预测MATLAB模型-GBM Stock Price Forecasting Model
gujiayuce
- 用Pyhon编写的股价预测程序，运行结果良好-Written by Pyhon price forecasting process, good operating results
stock
- 用Pyhon编写的股价预测程序，结果很好-Written by Pyhon price forecasting process, the results of good
LoadPriceForecastingFileExchange
- 一个加拿大的电价预测软件，实现你的的精确预测-One of Canada s electricity price forecasting software, to achieve your precise prediction
Electricity-Price-Forecasting
- 简单的用神经网络实现电价曲线的拟合，实现电价的预测-Simple realization price curve fitting using neural network to achieve price forecast
load and price forecasting
- The matlab code for daily and yearly load and price forecasting in electric market
Introduction-to-Load-a-Price-Forecasting-Case-Stu
- Electricity Load and Price Forecasting with MATLAB
PF--Algorithm-Time-Series
- 根據時間序列模型並且應用於物價預測的演算法-以Matlab來呈現 容易使用，code皆附有註解文字-Price Forecasting Algorithm Based on Time Series ## Easy to use With additional understanding text descr iption
SVM_Mdl.mat
- These files are matlab source code for price forecasting for smart meter hourly data. Step 1 relevant features are selected by Gray Correlation, Random Forest, Relief F algorithms. Then Kernel PCA of features are calculated. Price is predicted by Ker
2017_smd_hourly.xlsx
- Price Forecasting of smart meter hourly data.
VMD
- 使用可变模式分解的神经网络预测模型，可用于风速、电价预测等等。(Neural network prediction model using variable pattern decomposition can be used for wind speed, price forecasting and so on.)
LoadForecastingAustralia
- 澳大利亚电力负荷与价格预测，用于功率预测的数据输入(Electricity Load & Price Forecasting for the Australian Market)
新建文件夹
- BP神经网络股票建模,随着股票市场混沌和分形理论的逐步确立，人们开始利用神经网络对证券市场的变动加以预测。本文的研究目的在于为股市提供一种基于BP神经网络的股价预测方法，以便提高股价预测时的运算速度和精确度，为股票市场的个人投资者和机构投资者提供新的实用方法。(BP Neural network stock modeling, with the stock market chaos and fractal theory gradually established, people began to
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.)