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PL
Jakość struktury układu parkingu w porównaniu do innych obiektów związanych z ruchem jest rzadko kontrolowana w procesie planowania. Nie istnieją zintegrowane procedury procesu kontrolowania. W artykule przedstawiono i przedyskutowano pierwsze podejście do takiej procedury. Podejście jest dwustopniowe: 1 - jakościowy audyt zaprojektowanej struktury parkingu i jeżeli jego wynik jest pokazuje spełnienie minimalnych standardów, 2 – określenie poziomu obsługi. Przedstawiono również pierwsze obliczenia i pierwsze wymagane parametry.
EN
The quality of parking structure layouts is - compared with other traffic buildings - hardly checked in the planning process. For the checking process no integrated procedure exists. First approaches for such a procedure are developed and presented. A two-stage approach is pursued: 1. a quality audit for designed parking structures and - if the result shows a certain minimum standard – 2. A determining of a level of service. First calculation rules and first parameters needed are specified.
2
Content available Swarm intelligence for network routing optimization
EN
This paper presents the results of a comparative study of network routing approaches. Recent advances in the field suggest that swarm intelligence may offer a robust, high quality solution. The overall aim of the study was to develop a framework to facilitate the empirical evaluation of a swarm intelligence routing approach compared to a conventional static and dynamic routing approach. This paper presents a framework for the simulation of computer networks, collection of performance statistics, generation and reuse of network topologies and traffic patterns.
3
Content available A world according to artificial neural networks
EN
This paper presents results from a preliminary study in the field of artificial neural networks (ANN). The overall aim of our work relates to the field of cognitive science. In this wider framework we try to investigate, reason about, and model cognitive processes in order to obtain a better understanding of the major processing device involved - the human brain. In terms of content this paper presents a novel ANN learning approach. Note that through-out the paper we assume supervised learning. In contrast to the classical ANN learning approach where an ANN algorithm alters an initial random weight assignment until a reasonable solution to a problem is obtained this approach does not alter the initial random weight assignment at all, but provides a solution to the problem by transforming the actual input data. The approach is applied to perceptrons and adalines and its quality is demonstrated on simple classification problems.
EN
This paper addresses a problem in the area of intelligent, knowledge-based systems, namely the generation of knowledge, by presenting a proposal for the automation of this task. The proposed approach is limited however by focusing on fuzzy control systems (FCSs). Results obtained from different experimental investigations indicate the potential of the approach.
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