Temat: funkcja logiczna - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Decision optimization of machine sets taking into consideration logical tree minimization of design guidelines
Autorzy:: Deptuła, A.
Partyka, M. A.
Powiązania:: https://bibliotekanauki.pl/articles/955210.pdf
Data publikacji:: 2014
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: optymalizacja
metoda Quine'a-McCluskeya
funkcja logiczna
optimization
modified Quine-McCluskey algorithm
proportional valve
Opis:: The method of minimization of complex partial multi-valued logical functions determines the degree of importance of construction and exploitation parameters playing the role of logical decision variables. Logical functions are taken into consideration in the issues of modelling machine sets. In multi-valued logical functions with weighting products, it is possible to use a modified Quine - McCluskey algorithm of multi-valued functions minimization. Taking into account weighting coefficients in the logical tree minimization reflects a physical model of the object being analysed much better.
Źródło:: International Journal of Applied Mechanics and Engineering; 2014, 19, 3; 549-561
1734-4492
2353-9003
Pojawia się w:: International Journal of Applied Mechanics and Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Optimization on the complementation procedure towards efficient implementation of the index generation function
Autorzy:: Borowik, G.
Powiązania:: https://bibliotekanauki.pl/articles/330597.pdf
Data publikacji:: 2018
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: data reduction
feature selection
indiscernibility matrix
logic synthesis
index generation function
redukcja danych
selekcja cech
synteza logiczna
funkcja generowania indeksów
Opis:: In the era of big data, solutions are desired that would be capable of efficient data reduction. This paper presents a summary of research on an algorithm for complementation of a Boolean function which is fundamental for logic synthesis and data mining. Successively, the existing problems and their proposed solutions are examined, including the analysis of current implementations of the algorithm. Then, methods to speed up the computation process and efficient parallel implementation of the algorithm are shown; they include optimization of data representation, recursive decomposition, merging, and removal of redundant data. Besides the discussion of computational complexity, the paper compares the processing times of the proposed solution with those for the well-known analysis and data mining systems. Although the presented idea is focused on searching for all possible solutions, it can be restricted to finding just those of the smallest size. Both approaches are of great application potential, including proving mathematical theorems, logic synthesis, especially index generation functions, or data processing and mining such as feature selection, data discretization, rule generation, etc. The problem considered is NP-hard, and it is easy to point to examples that are not solvable within the expected amount of time. However, the solution allows the barrier of computations to be moved one step further. For example, the unique algorithm can calculate, as the only one at the moment, all minimal sets of features for few standard benchmarks. Unlike many existing methods, the algorithm additionally works with undetermined values. The result of this research is an easily extendable experimental software that is the fastest among the tested solutions and the data mining systems.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2018, 28, 4; 803-815
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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