Viscoelastic elements of Kelvin-Feugt type are supposed to be used for modelling dynamic influences from the transport side and behaviour separate whole structure as a whole. Periodic monitoring bridge crossings using considered approaches will make it possible detect presence defects in span itself, associated with formation cracks, spalling, because such estimated frequencies change.

The dynamic nature of biological systems’ structure, and the continuous evolution of their components require new modelling approaches. In this paper it will be investigated how these systems composed of many dynamic components can be formally modelled as well as how their configurations can be altered, thus affecting the communication between parts. We use two different formal methods, communi...

This paper introduces a new class of image model which we call dynamic trees or DTs. A dynamic tree model specifies a prior over structures of trees, each of which is a forest of one or more tree-structured belief networks (TSBN). In the literature standard tree-structured belief network models have been found to produce “blocky” segmentations when naturally occurring boundaries within an image...

A dynamic system is one that changes its configuration as it runs. It is a system into which we can drop new components that then cooperate with the existing ones. We are concerned with formally defining architectures for such systems and with realistically validating designs for applications that run on those architectures. We describe a generic architecture based on the familiar registry serv...

In this contribution we demonstrate how a Single Objective Genetic Programming (SOGP) and a Multi-Objective Genetic Programming (MOGP) algorithm can be used to evolve accurate input-output models of dynamic processes. Having described the algorithms, two case studies are used to compare their performance with that of Filter-Based Neural Networks (FBNNs). For the examples given, the models gener...

The next paper presents the development of a non-lineal dynamic system modelling using the combination of neural networks with fuzzy logic. The first approximation method used is ANFIS. With this method, the most significant rules were selected and slightly modified to obtain a significantly better result. This procedure was applied on a case study where an environmental system was modelled. Ke...