714 research outputs found
Using Recurrent Neural Networks To Forecasting of Forex
This paper reports empirical evidence that a neural networks model is
applicable to the statistically reliable prediction of foreign exchange rates.
Time series data and technical indicators such as moving average, are fed to
neural nets to capture the underlying "rules" of the movement in currency
exchange rates. The trained recurrent neural networks forecast the exchange
rates between American Dollar and four other major currencies, Japanese Yen,
Swiss Frank, British Pound and EURO. Various statistical estimates of forecast
quality have been carried out. Obtained results show, that neural networks are
able to give forecast with coefficient of multiple determination not worse then
0.65. Linear and nonlinear statistical data preprocessing, such as
Kolmogorov-Smirnov test and Hurst exponents for each currency were calculated
and analyzed.Comment: 23 pages, 13 figure
The quantum tunnel effect from the point of view of quantum mechanics and classical physics
Parallel analyses of matter penetrating a barrier are analyzed, one using electrodynamics, the other using quantum mechanics. Mathematical operations are performed to show the identical nature of the phenomena of reflection above the barrier and of penetration of the barrier in quantum mechanics and in classical electrodynamics. It is shown that, in reality, the tunneling effect is not a βpurely quantum phenomenonβ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ ΠΏΠ°ΡΠ°Π»Π»Π΅Π»ΡΠ½ΠΎΠ΅ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠΎΡ
ΠΎΠΆΠ΄Π΅Π½ΠΈΡ ΠΌΠ°ΡΠ΅ΡΠΈΠΈ ΡΠ΅ΡΠ΅Π· Π±Π°ΡΡΠ΅Ρ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ ΡΠ»Π΅ΠΊΡΡΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΠΈ ΠΊΠ²Π°Π½ΡΠΎΠ²ΠΎΠΉ ΠΌΠ΅Ρ
Π°Π½ΠΈΠΊΠΈ. ΠΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈ ΡΡΡΠΎΠ³ΠΎ ΠΏΠΎΠ»ΡΡΠ΅Π½Π° Π°Π±ΡΠΎΠ»ΡΡΠ½Π°Ρ ΠΈΠ΄Π΅Π½ΡΠΈΡΠ½ΠΎΡΡΡ Π½Π°Π΄Π±Π°ΡΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΎΡΡΠ°ΠΆΠ΅Π½ΠΈΡ ΠΈ ΠΏΠΎΠ΄Π±Π°ΡΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡ
ΠΎΠΆΠ΄Π΅Π½ΠΈΡ, ΠΊΠ°ΠΊ Π² ΠΊΠ²Π°Π½ΡΠΎΠ²ΠΎΠΉ ΠΌΠ΅Ρ
Π°Π½ΠΈΠΊΠ΅, ΡΠ°ΠΊ ΠΈ Π² ΠΊΠ»Π°ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ»Π΅ΠΊΡΡΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ΅. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΡΠ½Π½Π΅Π»ΡΠ½ΠΎΠ³ΠΎ ΡΡΡΠ΅ΠΊΡΠ° ΠΊΠ°ΠΊ Β«ΡΠΈΡΡΠΎ ΠΊΠ²Π°Π½ΡΠΎΠ²ΠΎΠ³ΠΎ ΡΠ²Π»Π΅Π½ΠΈΡΒ» β Π½Π΅ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΠ΅Ρ Π΄Π΅ΠΉΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ ΠΏΠ°ΡΠ°Π»Π΅Π»ΡΠ½Π΅ Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Π½Ρ ΠΏΡΠΎΡ
ΠΎΠ΄ΠΆΠ΅Π½Π½Ρ ΠΌΠ°ΡΠ΅ΡΡΡ ΡΠ΅ΡΠ΅Π· Π±Π°ΡβΡΡ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ Π΅Π»Π΅ΠΊΡΡΠΎΠ΄ΠΈΠ½Π°ΠΌΡΠΊΠΈ ΡΠ° ΠΊΠ²Π°Π½ΡΠΎΠ²ΠΎΡ ΠΌΠ΅Ρ
Π°Π½ΡΠΊΠΈ. ΠΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ½ΠΎ Π²ΠΈΠΊΠ»ΡΡΠ½ΠΎ ΠΎΡΡΠΈΠΌΠ°Π½Π° Π°Π±ΡΠΎΠ»ΡΡΠ½Π° ΡΠ΄Π΅Π½ΡΠΈΡΠ½ΡΡΡΡ Π½Π°Π΄Π±Π°ΡβΡΡΠ½ΠΎΠ³ΠΎ Π²ΡΠ΄Π±ΠΈΡΡΡ ΡΠ° ΠΏΡΠ΄Π±Π°ΡβΡΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡ
ΠΎΠ΄ΠΆΠ΅Π½Π½Ρ ΡΠΊ Ρ ΠΊΠ²Π°Π½ΡΠΎΠ²ΡΠΉ ΠΌΠ΅Ρ
Π°Π½ΡΡΡ ΡΠ°ΠΊ Ρ Π² ΠΊΠ»Π°ΡΠΈΡΠ½ΡΠΉ Π΅Π»Π΅ΠΊΡΡΠΎΠ΄ΠΈΠ½Π°ΠΌΡΡΡ. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΠΎ Π²ΠΈΠ·Π½Π°ΡΠ΅Π½Π½Ρ ΡΡΠ½Π΅Π»ΡΠ½ΠΎΠ³ΠΎ Π΅ΡΠ΅ΠΊΡΡ ΡΠΊ Β«ΡΠΈΡΡΠΎ ΠΊΠ²Π°Π½ΡΠΎΠ²ΠΎΠ³ΠΎ ΡΠ²ΠΈΡΠ°Β» β Π½Π΅ Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π°Ρ Π΄ΡΠΉΡΠ½ΠΎΡΡΡ
ΠΡΠΈΡΠΈΠ½Ρ Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΡ ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠ²Π½ΡΡ Π½Π΅ΡΠ΄Π°Ρ Π² ΠΏΠΎΠ»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΌ ΡΠ΅ΠΊΡΡΠ΅: Π»ΠΈΠ½Π³Π²ΠΎΠΏΡΠ°Π³ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°ΡΠΏΠ΅ΠΊΡ
ΠΠΎΠ½Π΄ΡΠ°ΡΠ΅Π½ΠΊΠΎ Π. Π. ΠΡΠΈΡΠΈΠ½Ρ Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΡ ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠ²Π½ΡΡ
Π½Π΅ΡΠ΄Π°Ρ Π² ΠΏΠΎΠ»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΌ ΡΠ΅ΠΊΡΡΠ΅: Π»ΠΈΠ½Π³Π²ΠΎΠΏΡΠ°Π³ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°ΡΠΏΠ΅ΠΊΡ / Π. Π. ΠΠΎΠ½Π΄ΡΠ°ΡΠ΅Π½ΠΊΠΎ // ΠΠ΄Π΅ΡΡΠΊΠΈΠΉ Π»ΡΠ½Π³Π²ΡΡΡΠΈΡΠ½ΠΈΠΉ Π²ΡΡΠ½ΠΈΠΊ : Π·Π±. Π½Π°ΡΠΊ. ΠΏΡΠ°ΡΡ / [Π³ΠΎΠ»ΠΎΠ². ΡΠ΅Π΄. Π. Π. ΠΠ΅ΡΠ»ΡΡΠ΅Π½ΠΊΠΎ] ; ΠΠ°Ρ. ΡΠ½-Ρ Β«ΠΠ΄Π΅Ρ. ΡΡΠΈΠ΄. Π°ΠΊΠ°Π΄.Β». β ΠΠΈΠΏ. 3.- Π‘ΠΏΠ΅Ρ. Π²ΠΈΠΏ., ΠΏΡΠΈΡΠ²ΡΡΠ΅Π½ΠΈΠΉ 200-ΡΡΡΡΡ Π²ΡΠ΄ Π΄Π½Ρ Π½Π°ΡΠΎΠ΄ΠΆΠ΅Π½Π½Ρ Π’. Π. Π¨Π΅Π²ΡΠ΅Π½ΠΊΠ°. β ΠΠ΄Π΅ΡΠ° : ΠΠ΅Π»ΡΠ²Π΅ΡΠΈΠΊΠ°, 2014. β Π‘. 118-123.Π‘ΡΠ°ΡΡΡ ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½ΠΈΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠ²Π½ΡΡ
Π½Π΅ΡΠ΄Π°Ρ ΠΊΠ°ΠΊ Π½Π΅ΠΏΠΎΠ½ΠΈ- ΠΌΠ°Π½ΠΈΡ ΡΠ΅ΡΠΈΠΏΠΈΠ΅Π½ΡΠΎΠΌ Π½Π°ΠΌΠ΅ΡΠ΅Π½ΠΈΡ Π³ΠΎΠ²ΠΎΡΡΡΠ΅Π³ΠΎ. Π ΠΏΠΎΠ»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΌ Π΄ΠΈΡΠΊΡΡΡΠ΅ ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠ²Π½ΡΠ΅ Π½Π΅ΡΠ΄Π°ΡΠΈ ΠΌΠΎΠ³ΡΡ Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡΡ Π² ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ Π½Π΅ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΠΎ ΠΎΡΠ³Π°Π½ΠΈΠ·ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΡΠ΅ΠΊΡΡΠ°, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ Π΅Π³ΠΎ Π΄Π΅ΡΠ΅ΠΌΠ°Π½ΡΠΈΠ·Π°ΡΠΈΠΈ. ΠΡΠΈΡΠΈΠ½ΠΎΠΉ ΡΡΡΠ°ΡΡ ΡΠΌΡΡΠ»Π° Π² ΠΏΠΎΠ»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΌ ΡΠ΅ΠΊΡΡΠ΅ ΡΡΠ°Π½ΠΎΠ²ΡΡΡΡ Π»Π΅ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ Π³ΡΠ°ΠΌΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ°Π±Π»ΠΎΠ½Ρ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΊΠΎΡΠΎΡΡΡ
ΠΈ ΡΠ½ΠΈΠΆΠ°Π΅Ρ ΡΠΌΡΡΠ»ΠΎΠ²ΡΡ Π½Π°Π³ΡΡΠ·ΠΊΡ Π½Π° ΡΠ΅ΡΠΈΠΏΠΈΠ΅Π½ΡΠ°
Growth and crystallization of molybdenum layers on amorphous silicon
The structure of molybdenum layers deposited by direct current magnetron sputtering onto the amorphous silicon (a-Si) layers as function of nominal layer thickness was studied by methods of transmission electron microscopy. Molybdenum layers with nominal thickness 1.5btMo nomb1.9 nm consist of clusters which should be considered as a transient state between strongly disordered (amorphous) state and crystal one. A transition from clusters to polycrystals takes place within the thickness range of 1.9btMo nomb2.5 nm. Resulting Mo crystallites have an inequiaxial form with dimensions of (3β4)Γ(15β30)nm2 and consist of blocks. The lateral axis of inequiaxial crystallites is parallel to 110 direction. As the metal layer thickness increases Mocrystallites take the more regular form at the expense of recrystallization
Probabilistic Economic Theory
This book presents principles of physical economics, new economic discipline primarily concerned in the book with the agent-based physical modeling of the market economic systems and eventually with the elaborating of robabilistic economic theory. At the heart of physical economics and probabilistic economic theory are the well-known cornerstone concepts of classical economics, in particular the subjective theory of value, such as regularity in the sequence of market phenomena and an interdependence of those, as well as key roles of individualsβ actions and social cooperation in the many-agent market processes. The main point of the concept of the physical modeling is that formal approaches and procedures of theoretical physics are
used to describe these economic concepts. The obvious structural and dynamic analogy of the many-agent economic systems with the many-particle physical systems is basic to the formulation of fundamentals of the method of the agent-based physical modeling of the many-agent market economic systems in the formal economic space.
It is also vital to the elaboration of the main paradigm and eventually the five general principles of physical economics, as well as of probabilistic economic theory. The
uncertainty and probability principle holds a central position among of them. All the principles provide the necessary background to physical economics that include such
theories as classical economy, probability economics, and quantum economy. The book provides a unique source for learning and understanding all the concepts and principles of physical economics, together with the quantitative methods of calculating and analyzing the many-good, many-agent market economies. Conceptually, the book can be viewed as an introduction to economics for physicists, expressed by means of the terms and language of physics. This book is also addressed to all those who are interested in the background of economics, foremost in the axiomatic basis of modern economic theory
Reactive diffusion in Sc/Si multilayer X-ray mirrors with CrB2 barrier layers
Processes undergoing in Sc/Si multilayer X-ray mirrors (MXMs) with periods of βΌ27 nm and barrier layers of CrB20.3- and 0.7-nm thick within the temperature range
of 420β780 K were studied by methods of small-angle Xray reflectivity (Ξ» = 0.154 nm) and cross-sectional transmission electron microscopy. All layers with the exception of
Sc ones are amorphous. Barrier layers are stable at least up to a temperature of 625 K and double the activation energy of diffusional intermixing at moderate temperatures. Introduction of barriers improves the thermal stability of Sc/Si MXMs at least by 80 degrees. Diffusion of Si atoms through barrier layers into Sc layers with formation of silicides was shown to be the main degradation mechanism of MXMs. A comparison of the stability for Sc/Si MXMs with different barriers published in the literature is conducted. The ways of further improvement of barrier properties are discusse
STUDY OF SI SURFACE MODIFICATION WITH IRRADIATION, PLASMA AND ULTRASOUND FOR GAS SENSING APPLICATION
In order to search the new physical principles for high sensitive and selective gas sensors on the base of porous silicon
creating we examined gas sensitivity of the silicon surface modified with charge particle irradiation, chemical plasma and
ultrasound. Single crystal Si and SiO2/Si structures were irradiated with ions (6.8 MeV H, 27.2 MeV He, 290 MeV Ar, 372 MeV
Xe, 710 MeV Bi), treated with chemical plasma with 80-100eV F-content and with ultrasound (Π =0.5 W, 8 MHz). The sampleβs
absorption properties were obtained from the analysis of the optical parameters changes (refraction index and absorption
coefficient, and a thickness of near-surface region, too). The latest were studied by the method of multiangular monochromatic
ellipsometry in test camera in ethyl alcohol, ammonia and acetone environment. Scanning electron microscope (SEM) and
atomic force microscope (AFM) were used to analyze the surface morphology.
Protons and alpha particles were found to lead to the Si near-surface layer destruction of and an enhancement of the
surface roughness. The proton irradiated samples revealed a higher sensitivity to the absorption of ammonia and acetone
molecules. Plasma treated Si displays surface modification (loosening of near-surface layer), though, gas absorption is not
clearly revealed. Optical properties of Si/SiO2 structures depend on the dimensions and the depths of nanopores, created by the
etching of latent tracks in dioxide after irradiation. The greatest optical constant changes occurred in irradiated with 209ΠΡ
structures, where tracks penetrated the whole dioxide. Accordingly bismuth-irradiated structures have the best gas sensitivity.
Ultrasound influences on the optical parameters of porous Si/SiO2 structure (loosening of the near-surface layer). However,
these changes are unstable; and optical characteristics relax to the initial value in time. The best result was obtained for SnO2
/SiO2 /Si structure, where nanopores etched in the Xe latent tracks areas, were filled with SnO2
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