LiAoqi96 / GAN
运用GAN来进行交通流预测和数据修复
☆20Updated 4 years ago
Alternatives and similar repositories for GAN:
Users that are interested in GAN are comparing it to the libraries listed below
- 交通流预测☆17Updated 4 years ago
- LCTFP: A freeway traffic flow prediction model based on CNN and LSTM☆87Updated 6 years ago
- a model for traffic flow forecast☆29Updated 6 years ago
- 建立SARIMA-LSTM混合模型预测时间序列问题。以PM2.5值为例,使用UCI公开的自2013年1月17日至2015年12月31日五大城市PM2.5小时检测数据,将数据按时间段划分,使用SARIMA过滤其线性趋势,再对过滤后的残差使用LSTM进行预测,最后对预测结果进行…☆71Updated 6 years ago
- 基于Keras的LSTM多变量时间序列预测☆176Updated 7 years ago
- 分别使用三种图卷积做一个简单的交通流量预测模型。☆35Updated 4 years ago
- 基于卡口实时过车数据进行交通流量的实时预测分析,使用LSTM循环神经网络模型进行融合预测,准确率达到90%以上。☆50Updated 4 years ago
- Multidimensional Time Series Prediction by using LSTM☆56Updated 5 years ago
- 2019年广西人工智能设计大赛:交通-地铁客流量预测Baseline(三等奖)☆49Updated 3 years ago
- Pytorch 实现RNN、LSTM、GRU模型☆77Updated 6 years ago
- ☆35Updated 6 years ago
- Multi-Attention Temporal Graph Convolution Network for Traffic Flow Forecasting☆18Updated 2 years ago
- the extension of https://github.com/philipperemy/keras-attention-mechanism , create a new scipt to add attetion to input dimensions rath…☆78Updated 5 months ago
- 一种有效的电力负荷预测方法☆59Updated 5 years ago
- 比较 TCN、GRU、GCN、TGCN、 TCN+GCN 在 交通流量预测方面的准确率效果。☆121Updated 3 years ago
- 客流预测、Resnet☆15Updated 5 years ago
- 基于Keras框架,结合LSTM/GRU/Arima/WNN实现多方式的水质参数预测☆21Updated 6 years ago
- 城市交通流量时空预测---山东省数据应用(青岛)创新创业大赛。http://sdac.qingdao.gov.cn/common/cmptIndex.html☆34Updated 4 years ago
- Time Series Prediction, Stateful LSTM; 时间序列预测,洗发水销量/股票走势预测,有状态循环神经网络☆55Updated 7 years ago
- my blog https://blog.csdn.net/qq_35649669/article/details/105586099☆47Updated 4 years ago
- 使用GCN和GRU组合模型,多站点气温预测☆35Updated 3 years ago
- used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN☆104Updated 4 years ago
- 时间序列ARIMA模型的销量预测☆60Updated 6 years ago
- BaseWavenet/Wavenet+ResidualBlock☆16Updated 6 years ago
- 利用已有的地铁流量历史数据建立模型,实现数据间存在的关联,为该城市未来一天的地铁流量进行一个较为准确的预测☆24Updated 5 years ago
- A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction☆97Updated 3 years ago
- Regression prediction of time series data using LSTM, SVM and random forest. 使用LSTM、SVM、随机森林对时间序列数据进行回归预测,注释拉满。☆182Updated 4 years ago
- 利用时间序列预测汽车销量☆37Updated 6 years ago
- research survey of traffic prediction☆25Updated 7 years ago
- 基于深度学习的溶解氧时间序列预测模型☆27Updated 4 years ago