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Time Series Versus Causal Forecasting- An Application of Artificial Neural Networks

This paper uses artificial neural networks to evaluate the performance of soybean and high fructose corn syrup (HFCS) price forecasting using both causal and time series techniques. Mean absolute deviation, and mean square error (both in–sample and …