Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 2

Liczba wyników na stronie
first rewind previous Strona / 1 next fast forward last
Wyniki wyszukiwania
Wyszukiwano:
w słowach kluczowych:  neural-network models
help Sortuj według:

help Ogranicz wyniki do:
first rewind previous Strona / 1 next fast forward last
EN
The paper aims at recognizing the possibilities and perspectives of application of qualitativequantitative research methodology in the field of economics, with a special focus on production engineering management processes. The main goal of the research is to define the methods that would extend the research apparatus of economists and managers by tools that allow the inclusion of qualitative determinants into quantitative analysis. Such approach is justified by qualitative character of many determinants of economic occurrences. At the same time quantitative approach seems to be predominant in production engineering management, although methods of transposition of qualitative decision criteria can be found in literature. Nevertheless, international economics and management could profit from a mixed methodology, incorporating both types of determinants into joint decision-making models. The research methodology consists of literature review and own analysis of applicability of mixed qualitative-quantitative methods for managerial decision-making. The expected outcome of the research is to find which methods should be applied to include qualitativequantitative analysis into multicriteria decision-making models in the fields of economics, with a special regard to production engineering management.
EN
The new approach for organization of robot-manipulator movements planning in environment with obstacles which uses associative memory is realized on a Hamming neural network, with the help of which created database of allowable condition gets out (instead of the necessary configuration of system is calculated).
PL
Rozpatruje sie nowe podejście do organizacji planowania ruchu systemów manipulacyjnych w środowisku z przeszkodami. Wykorzystuje się połączoną pamięć realizowana z pomocą sieci neuronowych Hamminga. Z pomocą sieci neuronowej powstałej z bazy danych dopuszczalnych stanów systemu manipulacyjnego wybiera się (a nie oblicza się) niezbędną konfigurację.
first rewind previous Strona / 1 next fast forward last
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.