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A New Forecasting Model for Container Throughput Based on Fuzzy Evidential Reasoning

Zou, Lulu - 2020

Integrating experts' judgment with mathematical model outputs proves to be an effective option for the performance improvement of container throughput forecasting in a volatile economic environment. However, judgments, even on the same issue, differ a lot owing to experts' various backgrounds....

Persistent link: https://www.econbiz.de/10012839435

A new PM2.5 concentration forecasting system based on AdaBoost-ensemble system with deep learning approach

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Forecasting interval-valued crude oil prices using asymmetric interval models

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A confidence-based rbf neural network ensemble learning paradigm with application to delinquent prediction for credit risk management

Yu, Lean; Wang, Shouyang - In: Business intelligence in economic forecasting : …, (pp. 105-117). 2010

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Analysis and forecasting of port logistics using TEII methodology

Tian, Xin; Xu, Lizhi; Liu, Liming; Wang, Shouyang - In: Business intelligence in economic forecasting : …, (pp. 248-264). 2010

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Applications of artificial neural networks to forecasting in finance and economics

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A hybrid model for time series forecasting

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A neuro-fuzzy combination model based on singular spectrum analysis for air transport demand forecasting

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Short-term forecasting of air passeneger by using hybrid seasonal decomposition and least squares support vector regression approaches

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Foreign-exchange-rate forecasting using artificial neural networks

Yu, Lean; Wang, Shouyang; Lai, Kin Keung - 2007

Persistent link: https://www.econbiz.de/10008757772