https://github.com/Lorne0/LSTNet_keras/blob/master/LSTNet.pygithub.com/Lorne0/LSTNet_keras/blob/master/LSTNet.py 多变量时间序列预测常常面临一个重大的研究挑战,即如何捕捉和利用多变量之间的动态相关性。具体来说,现实世界的应用程序通常需要短期和长期重复模式的混合,如下图1所示,图1绘制了高速公路每...
usage You can download the datasets mentioned in the paper at https://github.com/laiguokun/multivariate-time-series-data. We give the examples to run different datasets in ele.sh, traffic.sh, solar.sh and stoke.sh. Environment Python 2.7 and Pytorch 0.3.0About...
You can download the datasets mentioned in the paper athttps://github.com/laiguokun/multivariate-time-series-data. We give the examples to run different datasets in ele.sh, traffic.sh, solar.sh and stoke.sh. Environment Python 2.7 and Pytorch 0.3.0 ...
代码地址(Python): laiguokun/LSTNetgithub.com/laiguokun/LSTNet 这篇文章发表于41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018 简单说一下SIGIR,其在2019年中国计算机学会(CCF)推荐的国际学术会议和期刊中评定为A类会议,水平还是很高的。 Carnegie Mell...
[2] https://aistudio.baidu.com/aistudio/projectdetail/5149510?channelType=0&channel=0 [3] https://aistudio.baidu.com/aistudio/projectdetail/5086353?channelType=0&channel=0 [4] https://github.com/PaddlePaddle/PaddleTS关于AI Studio AI Studio是基于百度深度学习平台飞桨的人工智能学习与实训社区,提供...
https://github.com/abinashsinha330/Air-Pollution-Forecasting-using-Recurrent-Neural-Networks LSTNet结构详解 上图为LSTnet体系结构的概述。ISTNet是一个深度学习框架,专门为长期和短期混合模式的多变量时间序列预测任务设计。 1.卷积层组件(Convolutional Component) ...
ret = F.swapaxes(ret, 1, 2) ret, scale = super().hybrid_forward( F, past_target, past_observed_values ) ret = F.swapaxes(ret * scale, 1, 2) return ret.expand_dims(axis=1)© 2022 GitHub, Inc. Terms Privacy Security Status Docs Contact GitHub Pricing API Training Blog About ...
Time series forecasting especially in LSTF compare,include Informer, Autoformer, Reformer, Pyraformer, FEDformer, Transformer, MTGNN, LSTNet, Graph WaveNet - Masterleia/TSF_LSTF_Compare
代码实现也很简单,论文github将一个序列切分为skip个独立序列,每个序列都是原序列中跳着走的一部分,然后用一个GRU layer将skip个序列作为一个batch来输入得到最后的结果。 除了Recurrent-skip的方式,论文还提到了attention的方式来捕捉周期性模式。个人感觉是更好或者说更通用的方式。因为Recurrent-skip必须要手动设置...
Code:https://github.com/zhouhaoyi/Informer2020 Informer是一种基于Transformer模型的时序预测方法,由北京大学深度学习与计算智能实验室于2020年提出。与传统的Transformer模型不同,Informer在Transformer模型的基础上引入了全新的结构和机制,以更好地适应时序预测任务。Informer方法的核心思想包括: ...