Master's Thesis at University of Basra Explores Prediction Using Artificial Neural Networks
A master's thesis at the College of Administration and Economics at the University of Basra examined the "Prediction Using Artificial Neural Networks Hybridized with a Chaotic Genetic Algorithm: An Application."
The researcher, Zainab Muslim Nasser, aims to propose a new statistical prediction method that relies on hybridizing artificial neural networks with a chaotic genetic algorithm.
The thesis involved using this hybrid method to predict Iraqi oil exports.
The study concluded that integrating artificial neural networks with a chaotic genetic algorithm improves prediction accuracy and yields efficient and effective results.
Department of Media and Government Communication
