This paper proposes a hybrid decision support system for financial time series analysis. It uses evolutionary algorithms to construct an artificial expert, ...

This paper proposes a hybrid decision support system for fi- nancial time series analysis. It uses evolutionary algorithms to construct an artificial expert, ...

Dec 31, 2007 · This paper proposes a hybrid decision support system for financial time series analysis. It uses evolutionary algorithms to construct an ...

Results of a large number of experiments on real-life data from the Paris Stock Exchange confirm that the model of the hybrid decision support system is ...

Aug 8, 2017 · jsEvRBF is a time-series forecasting method based on genetic algorithm and neural nets. Written in JavaScript language, can be executed in ...

May 7, 2022 · This paper aims to forecast: (i) the closing price of eight stock market indexes; and (ii) the closing price of six currency exchange rates related to the USD.

Dec 30, 2023 · This study proposes a novel approach for modeling financial time series, concentrating on data pre-processing and selecting effective features in conventional ...

In this paper we present a hybrid approach that uses evolutionary computation to produce a complete design of a neural network for modeling and forecasting time ...

We investigate the correlations among the intraday prices of the major stocks of the Milan Stock Exchange by means of a neuro-evolutionary modeling method.

This paper describes a hybrid neuro-genetic system applied to short-term prediction of a stock index. Prediction is made by an ensemble of three simple neural ...