SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Exogenous variable driven deep learning models for improved price forecasting of TOP crops in India
13 references·0 citing·40 second hop
Exogenous variable driven deep learning models for improved price forecasting of TOP crops in India (2024)Exogenous variable driven deep learning m…Various optimized machine learning techniques to predict agricultural commodity prices (2024)Various optimized machine lea…Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices (2024)Hidden Markov guided Deep Lea…Recurrent neural network architecture for forecasting banana prices in Gujarat, India (2023)Recurrent neural network arch…Forecasting commodity prices: empirical evidence using deep learning tools (2023)Forecasting commodity prices:…Agricultural Product Price Forecasting Methods: A Review (2023)Agricultural Product Price Fo…Machine learning techniques for forecasting agricultural prices: A case of brinjal in Odisha, India (2022)Machine learning techniques f…Agricultural Price Prediction Based on Combined Forecasting Model under Spatial-Temporal Influencing Factors (2022)Agricultural Price Prediction…It’s the Weather: Quantifying the Impact of Weather on Retail Sales (2021)It’s the Weather: Quantifying…Forecasting spot prices of agricultural commodities in India: Application of deep‐learning models (2021)Forecasting spot prices of ag…Deep long short-term memory based model for agricultural price forecasting (2021)Deep long short-term memory b…Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series (2019)Ensemble approach based on ba…Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Statistical and Machine Learn…The Performance of ARIMAX Model and Vector Autoregressive (VAR) Model in Forecasting Strategic Commodity Price in Indonesia (2017)The Performance of ARIMAX Mod…Developing a Bayesian vector autoregression forecasting model (1993)Forecasting government bond yields with large Bayesian vector autoregressions (2012)Why stable food prices are a good thing: Lessons from stabilizing rice prices in Asia (2012)Long term and short term forecasting of horticultural produce based on the LSTM network model (2022)Time Series Analysis Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)Another look at measures of forecast accuracy (2006)The M4 Competition: 100,000 time series and 61 forecasting methods (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Forecasting: theory and practice (2022)Forecasting principles and practiceDeep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500 (2016)A note on the validity of cross-validation for evaluating autoregressive time series prediction (2017)Forecast combinations: An over 50-year review (2022)Forecasting wholesale prices of yellow corn through the Gaussian process regression (2024)Wholesale price forecasts of green grams using the neural network (2024)Time series forecasting using a hybrid ARIMA and neural network model (2003)Deep learning with long short-term memory networks for financial market predictions (2017)Soybean and Soybean Oil Price Forecasting through the Nonlinear Autoregressive Neural Network (NARNN) and NARNN with Exogenous Inputs (NARNN–X) (2022)Yellow corn wholesale price forecasts via the neural network (2023)Regional steel price index predictions for the southwest Chinese market through machine learning (2024)Time Series Analysis: Forecasting and Control. (1978)Predicting open interest in thermal coal futures using machine learning (2024)Forecasts of wholesale food price indices through Gaussian process regressions (2025)Comparing Predictive Accuracy (1995)Neural network forecasting for seasonal and trend time series (2003)Machine Learning Strategies for Time Series Forecasting (2013)Predictive Modeling of Peanut Oil Prices Utilizing a Gaussian Process Regression-Based Machine Learning Framework (2025)A LSTM-based method for stock returns prediction: A case study of China stock market (2015)A novel cryptocurrency price trend forecasting model based on LightGBM (2018)Risk and Return in Commodity Futures (1980)CO2 emissions, natural gas and renewables, economic growth: Assessing the evidence from China (2018)Does global economic uncertainty matter for the volatility and hedging effectiveness of Bitcoin? (2018)Forecasting the lithium mineral resources prices in China: Evidence with Facebook Prophet (Fb-P) and Artificial Neural Networks (ANN) methods (2023)Enhancing Forecasting Accuracy in Commodity and Financial Markets: Insights from GARCH and SVR Models (2024)The Fundamental Theorem of Exponential Smoothing (1961)The Combination of Forecasts (1969)Asymmetry in Retail, Wholesale, and Shipping Point Pricing for Fresh Vegetables (1982)Stock Price Prediction Using the ARIMA Model (2014)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)
this work references cited by second hop

References

  • 2018Statistical and Machine Learning forecasting methods: Concerns and ways forward1,515 cited
  • 2019Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series526 cited
  • 2022Machine learning techniques for forecasting agricultural prices: A case of brinjal in Odisha, India107 cited
  • 2023Agricultural Product Price Forecasting Methods: A Review92 cited
  • 2021Deep long short-term memory based model for agricultural price forecasting88 cited
  • 2021Forecasting spot prices of agricultural commodities in India: Application of deep‐learning models87 cited
  • 2023Forecasting commodity prices: empirical evidence using deep learning tools76 cited
  • 2024Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices57 cited
  • 2017The Performance of ARIMAX Model and Vector Autoregressive (VAR) Model in Forecasting Strategic Commodity Price in Indonesia56 cited
  • 2022Agricultural Price Prediction Based on Combined Forecasting Model under Spatial-Temporal Influencing Factors54 cited
  • 2023Recurrent neural network architecture for forecasting banana prices in Gujarat, India46 cited
  • 2021It’s the Weather: Quantifying the Impact of Weather on Retail Sales44 cited
  • 2024Various optimized machine learning techniques to predict agricultural commodity prices43 cited

Cited by

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

No citing works inside the corpus for this window.