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N-BEATS Deep Learning Architecture for Agricultural Commodity Price Forecasting · Study

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ArticleN-BEATS Deep Learning Architecture for Agricultural Commodity Price Forecasting

G. H. Harish Nayak2024

Article2024

N-BEATS Deep Learning Architecture for Agricultural Commodity Price Forecasting

G. H. Harish Nayak · Md Wasi Alam · G. Avinash · Kehar Singh · Mrinmoy Ray · Rajeev Ranjan Kumar

34 citations·0/0 files stored·Potato Research

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Stock Market Forecasting Methods Smart Agriculture and AI Forecasting Techniques and Applications

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References

2022A convolutional neural network based approach to financial time series prediction 2020Forecasting the price of Bitcoin using deep learning 2022Machine learning techniques for forecasting agricultural prices: A case of brinjal in Odisha, India 2020A time series analysis-based stock price prediction using machine learning and deep learning models 2021Deep long short-term memory based model for agricultural price forecasting 2022QuantumLeap: Hybrid quantum neural network for financial predictions 2022Modeling Bitcoin Prices using Signal Processing Methods, Bayesian Optimization, and Deep Neural Networks 2024Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices

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Year2024

Typearticle

Published2024-09-12

VenuePotato Research

ISSN-L0014-3065

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Citations34

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1007/s11540-024-09789-y

openalex_workW4402497379

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