Showing 1 - 10 of 159
Pasaulio ekonomikos augimas, spartėjantis globalizacijos procesas, technologijų pažanga didina atstumus tarp žaliavų gavimo, gamybos ir pagamintų prekių naudojimo taškų. Gausėjant prekybinių ryšių bei plečiantis jų geografijai, didėja reikalavimai transporto ir logistikos...
Persistent link: https://www.econbiz.de/10009478817
Relevance of the dissertation is determined by the object of research – the influence of logistical factors on transport flows distribution. The growth of world economics, business globalization, progress in technology skills extends the distances between geographical points of raw materials...
Persistent link: https://www.econbiz.de/10009478818
networks were trained with back-propagation and with genetic algorithms. With regards input data, three set of inputs, namely …
Persistent link: https://www.econbiz.de/10009440862
This thesis addresses three major issues in data mining regarding feature subset selection in large dimensionality domains, plausible reconstruction of incomplete data in cross-sectional applications, and forecasting univariate time series. For the automated selection of an optimal subset of...
Persistent link: https://www.econbiz.de/10009465839
Design of nonlinear observers has received considerable attention since the early development of methods for linear state estimation. The most popular approach is the extended Kalman filter (EKF), that goes through significant degradation in the presence of nonlinearities, particularly if...
Persistent link: https://www.econbiz.de/10009475775
Post-Cold War military conflicts have highlighted the need for a flexible, agile joint force responsive to emerging crises around the globe. The 2005 Joint Capabilities Integration and Development System (JCIDS) acquisition policy document mandates a shift away from stove-piped threat-based...
Persistent link: https://www.econbiz.de/10009475960
Time series forecasting is an important area of forecasting in which past observations of the same variable are collected and analyzed to develop a model describing the underlying relationship. The model is then used to extrapolate the time series into the future. This modeling approach is...
Persistent link: https://www.econbiz.de/10009455926
This research investigated the feasibility and capability of neural network-based approaches for predicting the direction of the Australian Stock market index (the target market). It includes several aspects: univariate feature selection from the historical time series of the target market,...
Persistent link: https://www.econbiz.de/10009484618
Persistent link: https://www.econbiz.de/10000898302