| dc.description.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 | en_US |
