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 “purely quantum phenomenon”. Проведено параллельное рассмотрение прохождения материи через барьер методами электродинамики и квантовой механики. Математически строго получена абсолютная идентичность надбарьерного отражения и подбарьерного прохождения, как в квантовой механике, так и в классической электродинамике. Показано, что определение туннельного эффекта как «чисто квантового явления» – не соответствует действительности. Проведено паралельне дослідження проходження матерії через бар’єр методами електродинаміки та квантової механіки. Математично виключно отримана абсолютна ідентичність надбар’єрного відбиття та підбар’єрного проходження як у квантовій механіці так і в класичній електродинаміці. Показано, що визначення тунельного ефекту як «чисто квантового явища» – не відповідає дійсності

Причины возникновения коммуникативных неудач в политическом тексте: лингвопрагматический аспект

Кондратенко Н. В. Причины возникновения коммуникативных неудач в политическом тексте: лингвопрагматический аспект / Н. В. Кондратенко // Одеський лінгвістичний вісник : зб. наук. праць / [голов. ред. Н. В. Петлюченко] ; Нац. ун-т «Одес. юрид. акад.». – Вип. 3.- Спец. вип., присвячений 200-річчю від дня народження Т. Г. Шевченка. – Одеса : Гельветика, 2014. – С. 118-123.Статья посвящена рассмотрению проблемы коммуникативных неудач как непони- мания реципиентом намерения говорящего. В политическом дискурсе коммуникативные неудачи могут возникать в результате неправильно организованного текста, в частности его десемантизации. Причиной утраты смысла в политическом тексте становятся лексические и грамматические шаблоны, использование которых и снижает смысловую нагрузку на реципиента

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 (3–4)×(15–30)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 individuals’ 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 ∼27 nm and barrier layers of CrB20.3- and 0.7-nm thick within the temperature range of 420–780 K were studied by methods of small-angle Xray reflectivity (λ = 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 (Р=0.5 W, 8 MHz). The sample’s 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 209Ві 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