TY - JOUR
KW - Artificial Intelligence
KW - Neural Network
KW - Gray Wolf Optimization
KW - Cultural Algorithm
KW - Regression
KW - Time Series
AU - Alireza Goli
AU - Hassan Khademi Zare
AU - Reza Tavakkoli-Moghaddam
AU - Ahmad Sadeghieh
AB - This paper provides an integrated framework based on statistical tests, time series neural network and improved multi-layer perceptron neural network (MLP) with novel meta-heuristic algorithms in order to obtain best prediction of dairy product demand (DPD) in Iran. At first, a series of economic and social indicators that seemed to be effective in the demand for dairy products is identified. Then, the ineffective indices are eliminated by using Pearson correlation coefficient, and statistically significant variables are determined. Then, MLP is improved with the help of novel meta-heuristic algorithms such as gray wolf optimization and cultural algorithm. The designed hybrid method is used to predict the DPD in Iran by using data from 2013 to 2017. The results show that the MLP offers 71.9% of the coefficient of determination, which is better compared to the other two methods if no improvement is achieved.
IS - Special Issue on Use Cases of Artificial Intelligence, Digital Marketing and Neuroscience
M1 - 6
N2 - This paper provides an integrated framework based on statistical tests, time series neural network and improved multi-layer perceptron neural network (MLP) with novel meta-heuristic algorithms in order to obtain best prediction of dairy product demand (DPD) in Iran. At first, a series of economic and social indicators that seemed to be effective in the demand for dairy products is identified. Then, the ineffective indices are eliminated by using Pearson correlation coefficient, and statistically significant variables are determined. Then, MLP is improved with the help of novel meta-heuristic algorithms such as gray wolf optimization and cultural algorithm. The designed hybrid method is used to predict the DPD in Iran by using data from 2013 to 2017. The results show that the MLP offers 71.9% of the coefficient of determination, which is better compared to the other two methods if no improvement is achieved.
PY - 2019
SP - 15
EP - 22
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - An Improved Artificial Intelligence Based on Gray Wolf Optimization and Cultural Algorithm to Predict Demand for Dairy Products: A Case Study
UR - https://www.ijimai.org/journal/sites/default/files/files/2019/03/ijimai20195_6_2_pdf_10531.pdf
VL - 5
SN - 1989-1660
ER -