Improving the accuracy of prediction of foreign exchange rates on the internet market by means of neural networks
The significance of these results is the possibility of increasing the accuracy of the forecast of exchange rates on the Internet market by using advanced mathematical apparatus, based on the set of factors affecting the fluctuations of exchange rates.
Electronic virtual markets can serve as an alternative tool for collecting information spread among numerous experts. Two motivation approaches compared via participant's activity represented by both the volume of trades and the number of transactions.
статья, добавлен 28.09.2016
The impact of globalization and the expansion of international trade in the LDCs. The definitions of the mechanism by which these factors lead to a weakening of LDC institutions with a low level of technology, which can not absorb the advanced technology.
дипломная работа, добавлен 30.08.2016
The review method is intended to determine the properties of steel materials. Modeling neural networks to clarify the characteristics of metals. Determination of the values of the properties of steels. Structure of expert system of assessment materials.
статья, добавлен 14.07.2016
Econometric approaches to modeling censored demand - a tool that is used to obtain consistent and unbiased parameter estimates. The neglect of censored data when building a forecast - a significant lack of demand analysis by machine learning methods.
дипломная работа, добавлен 23.09.2018
Pre-crisis, post-crisis windows definition. Bipower variation and jumps. Models for volatility forecasting. Forecast comparison. Value at risk estimation. Statistics on volatility estimators. Regression estimations. Forecast results of standalone models.
курсовая работа, добавлен 11.02.2017
The econometric models of goods export from Ukraine and the import to Ukraine in general, their seasonal and trend components are considered. The forecast of investigated indices for III and IV quarters of 2013 is made based on these constructed models.
статья, добавлен 28.09.2016
The influence of controlled and uncontrolled factors on price formation in public procurement procedures. Advantages and drawbacks of competitive tender procedures. The mathematical model for estimating the expected procurement price depending of bidders.
статья, добавлен 24.02.2016
Discusses the possibility of modelling individual factors determining inflation, using intelligent technology based on decision tree and matrix convolution. Constructed of the simplified model of the "manufacturers demand to profitability level".
статья, добавлен 25.09.2016
Mathematical model of effect of non-compliance with the prevention of HIV among a heterogeneous population based on known model by Kimbir et al. The effectiveness of a condom use and implications of non-compliance with a population of preventive measures.
статья, добавлен 20.05.2017
Description of the evolution of the volatility of the stochastic process. Behavior of stock market indices. Carry out an analysis of the "Wind Volatility Effect to the North-East". Evolution of the transformed logarithmic sinusoidal wave in time.
статья, добавлен 03.03.2018
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