<p dir="ltr">This research develops new models inspired by how the human brain processes information to improve the prediction of financial markets. By reducing the need for complex computations, these models can analyse data more quickly and adapt to fast-changing market conditions. The study shows how brain-inspired approaches can make financial forecasting more efficient, robust, and accessible. The outcomes contribute to building intelligent systems that support better decision making in trading and investment.</p>
History
Thesis type
Thesis (PhD)
Thesis note
Thesis submitted for the Degree of Doctor of Philosophy, Swinburne University of Technology, 2025.