Evolving neural networks for statistical decision theory
2005 · Comenius University, Bratislava, 2005 (master thesis) (2005) Advisor: Radoslav Harman
Abstract
Real biological networks are able to make decisions. We will show that this behavior can be observed even in some simple architectures of biologically plausible neural models. The great interest of this thesis is also to contribute to methods of statistical decision theory by giving a lead how to evolve the neural networks to solve miscellaneous decision tasks.