784 research outputs found
Analysis of network by generalized mutual entropies
Generalized mutual entropy is defined for networks and applied for analysis
of complex network structures. The method is tested for the case of computer
simulated scale free networks, random networks, and their mixtures. The
possible applications for real network analysis are discussed
IMIGE TYPOLOGIES IN COGNITION PROCESS
ΠΠ° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ ΡΠ»Π΅ΠΌΠ΅Π½ΡΠ°ΡΠ½ΡΡ
ΡΡΠ΅Π΅ΠΊ ΠΊΡΠΈΡΡΠ°Π»Π»ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅ΡΠ΅ΡΠΎΠΊ, ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠ΅ΠΉ Π€Π΅ΡΠΌΠΈ ΠΌΠ΅ΡΠ°Π»Π»ΠΎΠ² ΠΈ Π°Π΄ΠΈΠ°Π±Π°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΠΎΠ² ΠΏΡΠΈΠΌΠ΅ΡΠ΅ΠΉ Π·Π°ΠΌΠ΅ΡΠ΅Π½ΠΈΡ Π² ΠΊΡΠΈΡΡΠ°Π»Π»Π°Ρ
ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠ΅ ΡΠΈΠΏΠΎΠ»ΠΎΠ³ΠΈΠΉ, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡΡ
Π½Π° Π²ΠΈΠ·ΡΠ°Π»ΡΠ½ΡΡ
ΠΎΠ±ΡΠ°Π·Π°Ρ
Construction of typologies based on visual images is discussed using elementary cells of crystals, Fermi surfaces of metals and adiabatic potential energies of substitution impurities as the example
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