Universal approximation property of stochastic configuration networks for time series

Universal approximation property of stochastic configuration networks for time series

Abstract For the purpose of processing sequential data, such as time series, and addressing the challenge of manually tuning the architecture of traditional recurrent neural networks (RNNs), this paper introduces a novel approach-the Recurrent Stochastic Configuration Network (RSCN). This network is...

書目詳細資料
Main Authors:	Jin-Xi Zhang, Hangyi Zhao, Xuefeng Zhang
格式:	Article
語言:	English
出版:	Springer 2024-03-01
叢編:	Industrial Artificial Intelligence
主題:	Recurrent neural networks Stochastic configuration networks Incremental learning Time series Deep learning
在線閱讀:	https://doi.org/10.1007/s44244-024-00017-7

相似書籍

Efficiency optimization methods for stochastic configuration networks
由: Aijun Yan, et al.
出版: (2024-06-01)

Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams
由: Pratama, Mahardhika, et al.
出版: (2021)

Multi-Task Learning Based on Stochastic Configuration Networks
由: Xue-Mei Dong, et al.
出版: (2022-08-01)

Corrigendum: Multi-task learning based on Stochastic Configuration Networks
由: Xue-Mei Dong, et al.
出版: (2023-09-01)

Vibration Signal Classification Using Stochastic Configuration Networks Ensemble
由: Qinxia Wang, et al.
出版: (2024-06-01)

Leveraging Deep Learning for Time-Series Extrinsic Regression in Predicting the Photometric Metallicity of Fundamental-Mode RR Lyrae Stars
由: Lorenzo Monti, et al.
出版: (2024-08-01)

Temperature Time Series Prediction Model Based on Time Series Decomposition and Bi-LSTM Network
由: Kun Zhang, et al.
出版: (2023-04-01)

Stochastic Configuration Based Fuzzy Inference System with Interpretable Fuzzy Rules and Intelligence Search Process
由: Wei Zhou, et al.
出版: (2023-01-01)

FPGA-Based Implementation of Stochastic Configuration Networks for Regression Prediction
由: Yunqi Gao, et al.
出版: (2020-07-01)

Time-Series Neural Network: A High-Accuracy Time-Series Forecasting Method Based on Kernel Filter and Time Attention
由: Lexin Zhang, et al.
出版: (2023-09-01)

A Lightweight and Efficient Method of Structural Damage Detection Using Stochastic Configuration Network
由: Yuanming Lu, et al.
出版: (2023-11-01)

A Gradient-Based Particle-Bat Algorithm for Stochastic Configuration Network
由: Jingjing Liu, et al.
出版: (2023-02-01)

An End-to-End Adaptive Input Selection With Dynamic Weights for Forecasting Multivariate Time Series
由: Lkhagvadorj Munkhdalai, et al.
出版: (2019-01-01)

Explainable Time-Series Prediction Using a Residual Network and Gradient-Based Methods
由: Hyojung Choi, et al.
出版: (2022-01-01)

Adaptive Threshold Hierarchical Incremental Learning Method
由: Xingyu Li, et al.
出版: (2023-01-01)

PFformer: A Time-Series Forecasting Model for Short-Term Precipitation Forecasting
由: Luwen Xu, et al.
出版: (2024-01-01)

Working condition recognition of fused magnesium furnace based on stochastic configuration networks and reinforcement learning
由: Weitao Li, et al.
出版: (2024-03-01)

Comparative Study of Physics-Based Modeling and Neural Network Approach to Predict Cooling in Vehicle Integrated Thermal Management System
由: Duwon Choi, et al.
出版: (2020-10-01)

A novel approach for scene classification from remote sensing images using deep learning methods
由: Xiaowei Xu, et al.
出版: (2020-10-01)

Methane Concentration Prediction Method Based on Deep Learning and Classical Time Series Analysis
由: Xiangrui Meng, et al.
出版: (2022-03-01)

A Windowed Correlation-Based Feature Selection Method to Improve Time Series Prediction of Dengue Fever Cases
由: Tanvir Ferdousi, et al.
出版: (2021-01-01)

Long-Term Annual Mapping of Four Cities on Different Continents by Applying a Deep Information Learning Method to Landsat Data
由: Haobo Lyu, et al.
出版: (2018-03-01)

Experimental evaluation of stochastic configuration networks: is SC algorithm inferior to hyper-parameter optimization method?
由: Hu, Minghui, et al.
出版: (2022)

Periodic Time Series Data Analysis by Deep Learning Methodology
由: Haolong Zhang, et al.
出版: (2020-01-01)

Deep Time Series Forecasting Models: A Comprehensive Survey
由: Xinhe Liu, et al.
出版: (2024-05-01)

TSViz: Demystification of Deep Learning Models for Time-Series Analysis
由: Shoaib Ahmed Siddiqui, et al.
出版: (2019-01-01)

Prediction of chaotic time series using recurrent neural networks and reservoir computing techniques: A comparative study
由: Shahrokh Shahi, et al.
出版: (2022-06-01)

Study on Stochastic and Autoregressive Time Series Forecasting for Hydrogen Refueling Station
由: Ji-Wook Kim, et al.
出版: (2023-01-01)

Tuning of Elasticsearch Configuration: Parameter Optimization Through Simultaneous Perturbation Stochastic Approximation
由: Hårek Haugerud, et al.
出版: (2022-05-01)

FilterNet: A Many-to-Many Deep Learning Architecture for Time Series Classification
由: Robert D. Chambers, et al.
出版: (2020-04-01)

Fault Detection in the MSW Incineration Process Using Stochastic Configuration Networks and Case-Based Reasoning
由: Chenxi Ding, et al.
出版: (2021-11-01)

ANOMALY DETECTION ON TIME SERIES WITH WASSERSTEIN GAN APPLIED TO PHM
由: Mélanie Ducoffe, et al.
出版: (2019-12-01)

A Neural Networks Based Method for Multivariate Time-Series Forecasting
由: Shaowei Li, et al.
出版: (2021-01-01)

Configurable Model for Sigmoid and Hyperbolic Tangent Functions
由: Khaled Salah, et al.
出版: (2023-07-01)

An Improved Stochastic Configuration Networks With Compact Structure and Parameter Adaptation
由: Sanyi Li, et al.
出版: (2025-01-01)

Adaptive recognition of machining features in sheet metal parts based on a graph class-incremental learning strategy
由: Liuhuan Ma, et al.
出版: (2024-05-01)

TimeREISE: Time Series Randomized Evolving Input Sample Explanation
由: Dominique Mercier, et al.
出版: (2022-05-01)

CDS risk premia forecasting with multi-featured deep RNNs: An application on BR[I]CS countries
由: Yasin Kutuk
出版: (2023-11-01)

Use of Recurrent Neural Network with Long Short-Term Memory for Seepage Prediction at Tarbela Dam, KP, Pakistan
由: Muhammad Ishfaque, et al.
出版: (2022-04-01)

Application of ensemble RNN deep neural network to the fall detection through IoT environment
由: Mohammed Farsi
出版: (2021-02-01)