Neural networks have demonstrated their usefulness for solving complex regression
problems in circumstances where alternative methods do not provide satisfactory results …

Classification of hand gestures from multichannel surface electromyography (sEMG) has
been widely explored for the control of robotic prostheses. Several deep-learning algorithms …

Promoted model architectures or algorithms are crucial for intelligent manufacturing since
developing them takes a lot of trial and error to embed the domain knowledge into the …

Metallorganische Gerüstverbindungen werden im Bereich der Wissenschaft seit über 20
Jahren als vielversprechende poröse Materialien für eine Vielzahl möglicher Anwendungen …

Natural sciences provide a wide range of experimental data whose related problems require
study and modeling beyond the capabilities of conventional methodologies. Such problems …

This thesis addresses the study of evolutionary methods for the synthesis of neural network
controllers. Chapter 1 introduces the research area, reviews the state of the art, discusses …