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Wyszukujesz frazę "economic recovery" wg kryterium: Wszystkie pola


Wyświetlanie 1-2 z 2
Tytuł:
Economic problems of aircraft equipment recovery
Autorzy:
Poplavska, Z.
Kalynovskyy, A.
Powiązania:
https://bibliotekanauki.pl/articles/411139.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Oddział w Lublinie PAN
Tematy:
aircraft equipment
recovery
repair
efficiency
economic effect
Opis:
The formation of effects of different order in the process of aircraft equipment recovery is investigated. Changes of idle time of aviation equipment, depending on the cost of its recovery and maintenance are estimated. Economic problems of reasonable implementation of qualitative aircraft recovery are considered. Unlimited theoretical limits of costs on assuring the quality of aircraft equipment recovery are shown on the graphs. Suggestions for reasonable limits of the cost on aircraft equipment recovery are grounded. It was established that the definition of economic efficiency of providing quality of aircraft equipment recovery requires accounting not only the cost but also the obtained effects. The model showing the possible operating modes of aircraft equipment is presented. Its partial review allows to evaluate the difficulties of calculating the economic effect of providing quality of aircraft equipment recovery. Theoretical aspects of economic effect formation of quality of aircraft equipment recovery are investigated. It is stated that the annual economic effect from assuring quality of recovery and maintenance of aircraft equipment, resulting in operation of aircraft equipment (the effect of the secondorder), occurs in the form of savings and avoided losses for two reasons. First, eliminate losses due to non-compliance of technical parameters of aircraft equipment to normative and technical values. Second, due to changes in the operating costs connected with the elimination of aircraft equipment idle time due to technical reasons. Also, certain effect can be created in general within the whole branch of economics where aircraft equipment is used. Calculation of economic effect requires distinguishing between savings and avoided losses. Potential loss can be the cost of the aircraft equipment itself and damages that it may cause in case of falling. Also, losses can occur due to bad providing of technical condition indicators, and therefore efficiency of aircraft equipment causes inadequate change of operating costs and process in which it participates.
Źródło:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2016, 5, 1; 89-96
2084-5715
Pojawia się w:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Forecasting economic and financial indicators by supply of deep and recovery neural networks
Autorzy:
Boyko, N.
Ivanets, A.
Bosik, M.
Powiązania:
https://bibliotekanauki.pl/articles/411261.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Oddział w Lublinie PAN
Tematy:
neural network
deep
recurrent
activation function
feedforward
neuron
hidden layer
stock price prediction
Opis:
This paper studies the potential of the application of the Recurrent Neural Networks, as well as the Deep Neural Networks in the field of the finances and trading. In particular, their use in the stock price predicting software. The concepts of the RNNs and DNNs are provided and explained thoroughly. Both techniques RNNs and DNNs are utilized in the implementation of the stock price predicting software. Two separate versions of the software are created in order to demonstrate the main differences between the algorithms, as well as to determine the best of the two. Each version is thoroughly examined. The comparison of each of the algorithms is performed and highlighted. Examples of the implementations of the software, utilizing each of the algorithms on big volumes of stock data, for stock price prediction are provided. The article summarizes the concept of stock price prediction backed by the popular machine learning algorithms and its application in the nowadays world.
Źródło:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2018, 7, 2; 3-8
2084-5715
Pojawia się w:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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