首页> 外文OA文献 >Peer Review #1 of 'A new model for learning-based forecasting procedure by combining k-means clustering and time series forecasting algorithms (v0.1)'

【2h】

Peer Review #1 of 'A new model for learning-based forecasting procedure by combining k-means clustering and time series forecasting algorithms (v0.1)'

机译：同行评论第1名“通过结合K-Means聚类和时间序列预测算法（V0.1）”的基于学习预测程序的新模型。

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者

展开▼
作者单位

展开▼
年度 2021
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. A new model for learning-based forecasting procedure by combining k-means clustering and time series forecasting algorithms [J] . Kristoko Dwi Hartomo, Yessica Nataliani PeerJ Computer Science . 2021,第a期

机译：基于学习的预测过程的新模型通过组合K-Means聚类和时间序列预测算法
2. Combined group method of data handling models using artificial bee colony algorithm in time series forecasting [J] . Nurhaziyatul A. Yahya, Ruhaidah Samsudin, Ani Shabri, Procedia Computer Science . 2019,第1期

机译：时间序列预测中使用人工蜂群算法的组合数据处理模型方法
3. Enhanced Forecasting Accuracy of Fuzzy Time Series Model Based on Combined Fuzzy C-Mean Clustering with Particle Swam Optimization [J] . International Journal of Computational Intelligence and Applications . 2020,第2期

机译：基于组合模糊C均值聚类的模糊时间序列模型增强预测精度
4. A Hybrid Model of ARIMA, ANNs and k-Means Clustering for Time Series Forecasting [C] . Warut Pannakkong, Van Hai Pham, Van-Nam Huynh International symposium on integrated uncertainty in knowledge modelling and decision making . 2016

机译：时间序列预测的ARIMA，ANN和k-Means聚类混合模型
5. Review of Forecasting Univariate Time-Series Data with Application to Water-Energy Nexus Studies & Proposal of Parallel Hybrid Sarima-Ann Model [D] . Yarrington, Cory Sumner. 2021

机译：与应用到水能Nexus研究和平行杂交Sarima-Ann模型的建议的预测预测单变量时间序列数据
6. A Hybrid Forecasting Approach to Air Quality Time Series Based on Endpoint Condition and Combined Forecasting Model [O] . Jiaming Zhu, Peng Wu, Huayou Chen, 2018

机译：基于端点条件和组合预测模型的空气质量时间序列混合预测方法
7. Peer Review #3 of "A new model for learning-based forecasting procedure by combining k-means clustering and time series forecasting algorithms (v0.1)" [O] . 2021

机译：同行评论“通过组合K-Means集群和时间序列预测算法（V0.1）”的“基于学习预测程序的新模型”中的＃3。

Peer Review #1 of 'A new model for learning-based forecasting procedure by combining k-means clustering and time series forecasting algorithms (v0.1)'

著录项

引文网络

相似文献

相关主题

期刊订阅