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LVQ神经网络的预测——人脸朝向识别
- Elman神经网络的数据预测----电力负荷预测模型研究(Intelligent algorithm, neural network, Elman neural network, data prediction, power load forecasting model.)
Elman网络模型
- Elman神经网络的数据预测—电力负荷预测模型研究，非常不错的神经网络(Elman neural network data prediction power load forecasting model research, a very good neural network.)
神经网络预测客运量
- 采用神经网络，结合北京的各项数据，系统预测客运量变化情况，稍稍改参数便可以直接使用(Using neural network, combined with the data of Beijing, the system predicts the change of passenger volume, and it can be used directly with a slight modification of parameters.)
数据拟合
- 进行数据的拟合，将预测与实际数据进行比对(Fitting the data and comparing the forecast with the actual 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.)
network
- 卷积神经网络函数，用于数据预测，分类以及识别(Convolution neural network functions for data prediction, classification and identification)
电商广告点击大数据实时流处理系统案例代码
- 该程序实现topN功能和实时更新黑名单功能，并且能够预测未来点击流趋势。(TopN function and real-time update blacklist function)
采用BP神经网络进行非线性预测
- 该代码包括单隐含层BP和双隐含层BP。建立基于BP神经网络的预测模型，对数据进行随机排列，选取训练样本和测试样本，训练样本训练网络，测试样本进行验证(The code includes single hidden layer BP and double hidden layer BP. Establish a prediction model based on BP neural network, arrange the data randomly, select training sample
基于极限学习机的预测
- 针对非线性预测问题，建立极限学习机的预测模型，将数据样本分为训练样本和测试样本，并采用误差指标进行评价。(Aiming at the problem of non-linear prediction, the prediction model of extreme learning machine is established. The data samples are divided into training samples and test samples, and the error i
遗传算法优化BP网络(用于电力负荷预测预测）
- 遗传算法改进的bp神经网络精准预测符合数据(Precision prediction coincidence data of BP neural network improved by genetic algorithm)
小波神经网络预测代码
- 小波神经网络预测的完整的MATLAB代码。有数据，可直接运行实现。(Wavelet neural network prediction of complete MATLAB code. With data, you can run the implementation directly.)
MyCNNPSO
- 采用PSO对CNN进行优化，然后用于数据预测，一个初步的实验，精度有待提高(PSO is used to optimize CNN and then to predict data. A preliminary experiment shows that the accuracy needs to be improved.)
lstm
- 实现一多维时序数据的预测，相关参数可自行修改(Realization of prediction of multidimensional time series data)
code
- 数据处理预测；时间序列；前期数据处理；后期GRU预测(Data processing prediction)
房价预测
- kaggle项目，排名还挺靠前，需要和kaggle数据一起使用，需到kaggle网站下载。(The kaggle project, ranked high, needs to be used with kaggle data and downloaded from the kaggle website.)
GAbp
- 遗传算法改进的bp神经网络精准预测符合数据(Precision prediction coincidence data of BP neural network improved by genetic algorithm)
BP神经网络预测
- BP神经网络预测matlab的源代码，里面还附有公路运输的预测实例，只需修改数据即可。(BP neural network predicts the source code of matlab, which also includes a road transport prediction example, just need to modify the data.)
Elman神经网络预测电力负载
- Elman神经网络建立建筑物电力负荷预测模型中遇到的几个关键问题有，数据归一化处理、输入输出样本的选取、隐含层节点数的确定；分别建立Elman神经网络模型，并利用某栋建筑物实际历史电力负载数据进行预测，分析比较与实际数据值的预测精度，得出了一个有效的数据预测模型。(Several key problems encountered in building power load forecasting model based on Elman neural network are data norm
tensorflow预测产品价格
- 使用tensorflow进行预测，通过市场销量等数据预测产品的价格
ARIMA风速预测
- 用于风电场区域的风速多步预测问题。模型基于ARIMA，通过数据预处理、进行建模，并使用我国山东省两个风电场的历史风速数据进行测试和分析。结果表明，模型的统计误差小。(Multi-step wind speed prediction in wind farm area. The model is based on ARIMA, through data preprocessing, modeling, and using historical wind speed data of two wind