Optimasi PSO Untuk Peramalan Harga Emas Secara Rentet Waktu

Abstract

PSO is one of the best methods of AI techniques for optimization and parameter estimation . Emad et al , in the study presented a comparison between the five -based optimization algorithm AI recently , namely : GA , mathematics algorithm , particle swarm optimazition , ant -colony systems , and shuffled frog . The comparison showed that the PSO is one that has algorithms that provide a solution with success rates and better quality . In this study the model rentet time PSO -based forecasting gold prices proposed using PSO algorithms for parameter estimation . Forecasting the price of gold , in terms of input , will be discussed with the use of time lags behind the price of gold as an input