In the literature, artificial neural networks have been frequently used for the problem of time
series forecasting. There are many types of artificial neural networks in prediction of time …

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Forecasting exchange rates is an important financial problem that is receiving increasing
attention especially because of its difficulty and practical applications. In this chapter, we …

This paper presents the application of six nonlinear ensemble architectures to forecasting
the foreign exchange rates in the computational intelligence paradigm. Intelligent …

The aim of the research is to combine Symbolic Artificial Intelligence (AI)(Case Base
Reasoning systems) and Connectionist AI (particularly Radial Basis Functions Multi-layer …

This paper presents a new adaptive forecasting model using a knowledge guided artificial
neural network (KGANN) structure for efficient prediction of exchange rate. The new …

International currency market weathers all forms of worldwide current affairs and
governmental economics statistics releases. Such news causes fluctuations in demands and …

This paper applies an integrated artificial neural network approach to forecast foreign
exchange rates between the US dollar and Chinese Renminbi. In order to obtain a better …

This paper is dedicated to the problem of the research of the information and intelligent
forecasting systems which solve the problems of regression analysis. This class of the …

In the literature, artificial neural networks have been frequently used for the problem of time
series forecasting. There are many types of artificial neural networks in prediction of time …