Application of Generalised Regression Neural Network for Financial Time Series Forecasting: a Comprehensive Comparison with Autoregressive Integrated Moving Average

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Authors

Publication Details

Journal
International Journal of Data Analysis Techniques and Strategies
Published
2025-06-27
DOI
https://doi.org/10.1504/ijdats.2026.10072162
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Application of Generalised Regression Neural Network for Financial Time Series Forecasting: a Comprehensive Comparison with Autoregressive Integrated Moving Average

Hoang D. Le, Nguyen Lu Dang Khoa
International Journal of Data Analysis Techniques and Strategies
Neural Networks and Applications
article

Application of Generalised Regression Neural Network for Financial Time Series Forecasting: a Comprehensive Comparison with Autoregressive Integrated Moving Average

Hoang D. Le, Nguyen Lu Dang Khoa
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Data Analysis Techniques and StrategiesVol. 18(1)
Openalex Percentile: Top 93%
Neural Networks and Applications
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Application of Generalised Regression Neural Network for Financial Time Series Forecasting: a Comprehensive Comparison with Autoregressive Integrated Moving Average — Hoang D. Le, Nguyen Lu Dang Khoa · International Journal of Data Analysis Techniques and Strategies (2025) | TGRS Research Map | TGRS