The combination of forecasts resulting from an ensemble of neural networks has been
shown to outperform the use of a single “best” network model. This is supported by an …

Properly comprehending and modeling the dynamics of financial data has indispensable
practical importance. The prime goal of a financial time series model is to provide reliable …

The tourism industry is an increasingly important national industry for Taiwan. Government
policymakers and business managers pay close attention to the development of the tourism …

Forecasting naturally occurring phenomena is a common problem in many domains of
science, and this has been addressed and investigated by many scientists. The importance …

After reviewing the vast body of literature on using FTS in stock market forecasting, certain
deficiencies are distinguished in the hybridization of findings. In addition, the lack of …

Maintenance duration is a substantial part of dry docking activities. Maintenance duration
estimation is needed to prepare a ship maintenance schedule in a dockyard. Unfortunately …

Forecasting financial markets with artificial intelligence Page 75 Advanced Control and
Optimisation: Step Ahead 8–10 May 2014, Bankya Palace, Bankya, Bulgaria 67 …

We will concentrate on the modeling and analysis of a class of nonstationary time series,
called correlation coefficient stationary series, which commonly exists in practical …

Teknik analiz göstergeleri, finans alanında yaygın olarak kullanılan teknik analiz
yöntemleridir. Bu göstergeler teknik analiz sonucu elde edilir ve finans araçlarının alım-satım …

With the increased online public opinion data of real accidents in the last ten years. It has
been important for us to attain and analysis the online public opinion data of real accidents …