Evaluation of forecasting performance of CNN-LSTM.

Figshare2022-11-23 更新2026-04-28 收录

时序预测

深度学习评估

数据链接：

https://figshare.com/articles/dataset/Evaluation_of_forecasting_performance_of_CNN-LSTM_/21612476 数据链接链接失效反馈

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资源简介：

Evaluation of forecasting performance of CNN-LSTM.

创建时间：

2022-11-23

FaalSa/f9_it

时序预测

--- dataset_info: features: - name: start dtype: timestamp[s] - name: target sequence: float32 - name: item_id dtype: string - name: feat_static_cat sequence: uint64 splits

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The evaluation indexes of AGA-LSTM model and other DL models in CSI300 date set.

股票预测

深度学习评估

The evaluation indexes of AGA-LSTM model and other DL models in CSI300 date set.

NIAID Data Ecosystem100

Basic Model Interface (BMI) for streamflow prediction using Long Short-Term Memory (LSTM) networks

水资源管理

时序预测

This Long Short-Term Memory (LSTM) network was developed for use in the Next Generation Water Resources Modeling Framework (NextGen). LSTMs are able to provide relatively accurate streamflow predictio

DataONE2025-11-09 更新50

Impermanent

时序预测

开源生态

Impermanent是由TimeCopilot团队联合多所顶尖学术机构构建的动态时序预测基准数据集，聚焦GitHub开源生态中400个高星仓库的四种开发活动（议题创建、拉取请求、推送事件和新增关注者）。该数据集以GH Archive事件流为原始数据源，通过滚动窗口机制实现每日更新，包含小时级至月级的非平稳时间序列，具有显著的概念漂移特性。数据集构建采用预序评估框架，严格隔离训练与测试时段以避免数

arXiv2026-03-10 更新110

Walmart monthly share price on the NYSE 2010-2026

价格分析

时序预测

Monthly share price of Walmart on the New York Stock Exchange (NYSE) from January 2010 to March 2026 (in U.S. dollars)

Statista70