A neural network ensemble method with jittered training data for time series forecasting-Reference-Cited by-同舟云学术

A neural network ensemble method with jittered training data for time series forecasting

Published:2007-12 Issue:23 Volume:177 Page:5329-5346
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Zhang G. Peter

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference65 articles.

1. The effect of adding noise during backpropagation training on a generalization performance;An;Neural Computation,1996

2. A hybrid genetic-neural architecture for stock indexes forecasting;Armano;Information Sciences,2005

3. A comparison between neural-network forecasting techniques-case study: river flow forecasting;Atiya;IEEE Transactions on Neural Networks,1999

4. Automatic neural network modeling for univariate time series;Balkin;International Journal of Forecasting,2000

5. Improving the accuracy of an artificial neural network using multiple differently trained networks;Baxt;Neural Computation,1992

Cited by 132 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel hybrid GRU-CNN and residual bias (RB) based RB-GRU-CNN models for prediction of PTB Diagnostic ECG time series data;Biomedical Signal Processing and Control;2024-08

2. Stochastic modeling for energy generation in Sub Saharan Africa (Case Study of NAWEC Power Plants-The Gambia);2024-05-21

3. Optimalisasi Model Ensemble Learning dengan Augmentasi dan SMOTE pada Sistem Pendeteksi Kualitas Buah;JTIM : Jurnal Teknologi Informasi dan Multimedia;2024-04-17

4. Explicit Model Memorisation to Fight Forgetting in Time-series Prediction;SoutheastCon 2024;2024-03-15

5. “It Looks All the Same to Me”: Cross-Index Training for Long-Term Financial Series Prediction;Lecture Notes in Computer Science;2024