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Analysis of the Brazilian Climate Data Influence on Soybean Pricing by Using Long Short-Term Memory Models

https://doi.org/10.2139/ssrn.4888849
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inferredcites →https://doi.org/10.1002/1099-131x(200007)19:4<299::aid-for775>3.0.co;2-vopenalex-snapshot
A quantile regression neural network approach to estimating the conditional density of multiperiod returns
inferredcites →https://doi.org/10.1002/jsfa.11713openalex-snapshot
Machine learning algorithms for soybean yield forecasting in the Brazilian Cerrado
inferredcites →https://doi.org/10.1007/0-387-27605-xopenalex-snapshot
Testing Statistical Hypotheses
inferredcites →https://doi.org/10.1007/978-1-4419-5945-4_9openalex-snapshot
Singular Value Decomposition
inferredcites →https://doi.org/10.1007/978-1-4471-7307-6_1openalex-snapshot
Introduction to Data Mining
inferredcites →https://doi.org/10.1007/978-1-4614-7138-7openalex-snapshot
An Introduction to Statistical Learning
inferredcites →https://doi.org/10.1007/978-3-319-29854-2openalex-snapshot
Introduction to Time Series and Forecasting
inferredcites →https://doi.org/10.1007/978-94-6351-086-8_5openalex-snapshot
One-Way Anova
inferredcites →https://doi.org/10.1007/978-981-33-6108-9_2openalex-snapshot
Introduction to Machine Learning
inferredcites →https://doi.org/10.1007/bf00994018openalex-snapshot
Support-Vector Networks
inferredcites →https://doi.org/10.1007/bf01891203openalex-snapshot
Approximating the Shapiro-Wilk W-test for non-normality
inferredcites →https://doi.org/10.1007/s00500-023-08587-xopenalex-snapshot
A high-quality feature selection method based on frequent and correlated items for text classification
inferredcites →https://doi.org/10.1007/s00704-022-04341-9openalex-snapshot
Soybean yield prediction by machine learning and climate
inferredcites →https://doi.org/10.1007/s10115-012-0487-8openalex-snapshot
A review of feature selection methods on synthetic data
inferredcites →https://doi.org/10.1007/s10462-020-09838-1openalex-snapshot
A review on the long short-term memory model
inferredcites →https://doi.org/10.1007/s11119-023-10040-wopenalex-snapshot
Machine learning as a tool to predict potassium concentration in soybean leaf using hyperspectral data
inferredcites →https://doi.org/10.1007/s42979-021-00592-xopenalex-snapshot
Machine Learning: Algorithms, Real-World Applications and Research Directions
inferredcites →https://doi.org/10.1016/j.agrformet.2019.107886openalex-snapshot
Satellite-based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern Brazil
inferredcites →https://doi.org/10.1016/j.compag.2018.08.016openalex-snapshot
Prediction of soybean price in China using QR-RBF neural network model
inferredcites →https://doi.org/10.1016/j.compag.2021.106578openalex-snapshot
A surrogate model based on feature selection techniques and regression learners to improve soybean yield prediction in southern France
inferredcites →https://doi.org/10.1016/j.dsm.2021.02.005openalex-snapshot
Novel information fusion model for simulating the effect of global public events on the Sino-US soybean futures market
inferredcites →https://doi.org/10.1016/j.eswa.2021.115876openalex-snapshot
Estimating and tuning adaptive action plans for the control of smart interconnected poultry condominiums
inferredcites →https://doi.org/10.1016/j.ijforecast.2006.03.005openalex-snapshot
Exponential smoothing: The state of the art—Part II
inferredcites →https://doi.org/10.1016/j.ins.2011.12.028openalex-snapshot
On the use of cross-validation for time series predictor evaluation
inferredcites →https://doi.org/10.1016/j.jag.2023.103269openalex-snapshot
A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering
inferredcites →https://doi.org/10.1016/j.jbi.2018.07.014openalex-snapshot
Relief-based feature selection: Introduction and review
inferredcites →https://doi.org/10.1016/j.jclepro.2023.138603openalex-snapshot
How climate change and international trade will shape the future global soybean security pattern
inferredcites →https://doi.org/10.1016/j.jclimf.2024.100038openalex-snapshot
Risk transference between climate variability and financial derivatives: Implications for global food security
inferredcites →https://doi.org/10.1016/j.neunet.2014.09.003openalex-snapshot
Deep learning in neural networks: An overview
inferredcites →https://doi.org/10.1016/j.worlddev.2021.105582openalex-snapshot
Conserving the Cerrado and Amazon biomes of Brazil protects the soy economy from damaging warming
inferredcites →https://doi.org/10.1016/s0020-7373(87)80053-6openalex-snapshot
Simplifying decision trees
inferredcites →https://doi.org/10.1016/s0167-2789(96)00139-xopenalex-snapshot
Stationarity and nonstationarity in time series analysis
inferredcites →https://doi.org/10.1023/a:1022689900470openalex-snapshot
Instance-Based Learning Algorithms
inferredcites →https://doi.org/10.1023/b:stco.0000035301.49549.88openalex-snapshot
A tutorial on support vector regression
inferredcites →https://doi.org/10.1029/2019ef001213openalex-snapshot
Potential Influence of Climate Change on Grain Self‐Sufficiency at the Country Level Considering Adaptation Measures
inferredcites →https://doi.org/10.1038/323533a0openalex-snapshot
Learning representations by back-propagating errors
inferredcites →https://doi.org/10.1038/nbt1386openalex-snapshot
What are artificial neural networks?
inferredcites →https://doi.org/10.1038/s41598-021-89779-zopenalex-snapshot
Simultaneous corn and soybean yield prediction from remote sensing data using deep transfer learning
inferredcites →https://doi.org/10.1039/c3ay41907jopenalex-snapshot
Principal component analysis
inferredcites →https://doi.org/10.1051/ocl/2017058openalex-snapshot
The rapid soybean growth in Brazil
inferredcites →https://doi.org/10.1080/01621459.1952.10483441openalex-snapshot
Use of Ranks in One-Criterion Variance Analysis
inferredcites →https://doi.org/10.1093/biomet/52.3-4.591openalex-snapshot
An Analysis of Variance Test for Normality (Complete Samples)
inferredcites →https://doi.org/10.1109/icsess.2018.8663896openalex-snapshot
High and Low Prices Prediction of Soybean Futures with LSTM Neural Network
inferredcites →https://doi.org/10.1109/mwscas.2017.8053243openalex-snapshot
Gate-variants of Gated Recurrent Unit (GRU) neural networks
inferredcites →https://doi.org/10.1111/insr.12095_3openalex-snapshot
Nonparametric Statistics: A Step‐by‐Step Approach
inferredcites →https://doi.org/10.1126/science.153.3731.34openalex-snapshot
Dynamic Programming
inferredcites →https://doi.org/10.1145/2379776.2379788openalex-snapshot
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inferredcites →https://doi.org/10.2166/nh.2014.074openalex-snapshot
Drought analysis in southern Paraguay, Brazil and northern Argentina: regionalization, occurrence rate and rainfall thresholds
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Time Series Analysis: Forecasting and Control
inferredcites →https://doi.org/10.2307/2289973openalex-snapshot
Mathematical Statistics and Data Analysis.
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Adam: A Method for Stochastic Optimization
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Training Very Deep Networks
inferredcites →https://doi.org/10.5555/944919.944968openalex-snapshot
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inferredcites →https://doi.org/10.5860/choice.26-3285openalex-snapshot
The fast Fourier transform and its applications
inferredcites →https://doi.org/10.5860/choice.49-3305openalex-snapshot
Data mining: concepts and techniques
inferredcites →https://doi.org/10.7916/d86d5r2xopenalex-snapshot
Analysis of Variance of Cross-Validation Estimators of the Generalization Error
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