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A Study on Cotton Futures Price Forecasting Based on Pso-Bilstm Approach

https://doi.org/10.2139/ssrn.5142823
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18/18 checkable references clean · checked 2026-08-28

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

11 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 18 checked references that resolve
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Stock price forecasting using PSO hypertuned neural nets and ensembling
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Day-Ahead Electricity Price Forecasting Using the Wavelet Transform and ARIMA Models
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Trace2trace—A Feasibility Study on Neural Machine Translation Applied to Human Motion Trajectories
resolves10.1109/4235.585892
Ant colony system: a cooperative learning approach to the traveling salesman problem
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Long Short-Term Memory
resolves10.1038/scientificamerican0792-66
Genetic Algorithms
resolves10.1109/ICNN.1995.488968
Particle swarm optimization
resolves10.5194/hess-22-6005-2018
Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
resolves10.1109/TII.2019.2952917
LSTM Learning With Bayesian and Gaussian Processing for Anomaly Detection in Industrial IoT
resolves10.1016/j.neucom.2018.09.082
Time series forecasting of petroleum production using deep LSTM recurrent networks
resolves10.1061/(ASCE)HE.1943-5584.0000548
Hybrid Optimization Rainfall-Runoff Simulation Based on Xinanjiang Model and Artificial Neural Network
resolves10.1023/A:1008202821328
Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
resolves10.1108/BFJ-09-2019-0683
Agricultural product price forecasting methods: research advances and trend
resolves10.1016/j.ijleo.2013.09.017
Real estate price forecasting based on SVM optimized by PSO
resolves10.1016/j.ijforecast.2008.08.004
Forecasting spot electricity prices: A comparison of parametric and semiparametric time series models
resolves10.1016/S1003-6326(20)65332-8
Prediction of metal futures price volatility and empirical analysis based on symbolic time series of high-frequency
resolves10.1109/ACCESS.2020.2983588
Hybrid Method for Short-Term Time Series Forecasting Based on EEMD
The 11 references without a DOI — listed, not checked
no DOI — not checkedref5
no DOI — not checkedForecasting Nickel futures price based on the empirical wavelet transform and gradient boosting decision trees
no DOI — not checkedref8
no DOI — not checkedref11
no DOI — not checkedref13
no DOI — not checkedA novel deep learning-based forecasting model optimized by heuristic algorithm for energy management of microgrid
no DOI — not checkedAnalysis and Forecast of Stock Price Based on LSTM Model
no DOI — not checkedCotton Agriculture in Turkey and Worldwide Economic Impacts of Turkish Cotton
no DOI — not checkedInternational Crude Oil Price Forecasting based on a Hybrid Model
no DOI — not checkedref29
no DOI — not checkedref30
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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