Abstract: Modeling of modern production plants often requires that the system provides means to cope with frequent changes in topology and equipment and can easily be adapted to ne...
An original method for service life assessment of building products is proposed. In addition to a rigorous analysis and system modelling, "Evidence Theory" is adapted an...
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
Hybrid set of optimally trained feed-forward, Hopfield and Elman neural networks were used as computational tools and were applied to immunoinformatics. These neural networks ena...