AGRICULTURAL COMMODITY PRICE PREDICTION USING DEEP LEARNING TECHNIQUES: THE CASE OF ETHIOPIAN COMMODITY EXCHANGE (ECX

Abstract

The experimental results showed that the gated recurrent units (GRU) working with the selected features, gotten prediction error rate of 2.54 , remarkably good compared to Long short term memory(LSTM) based on ECX dataset, with a prediction error rate of 2.73.