Use of empirical mode decomposition in improving neural network forecasting of paddy price

• Main Authors: Abdullah, Siti Nabilah Syuhada, Shabri, Ani, Samsudin, Ruhaidah
• Format: Article
• Published: Penerbit UTM Press 2019
• Subjects: QA Mathematics
• Online Access: http://eprints.utm.my/id/eprint/89431/; http://dx.doi.org/10.11113/matematika.v35.n4.1263

Since rice is a staple food in Malaysia, its price fluctuations pose risks to the producers, suppliers and consumers. Hence, an accurate prediction of paddy price is essential to aid the planning and decision-making in related organizations. The artificial neural network (ANN) has been widely used a...