Jul 4, 2018 · This paper suggests an enhanced fuzzy rule-based evolving participatory learning with kernel recursive least squares algorithm for stock ...

This paper suggests an enhanced fuzzy rule-based evolv- ing participatory learning with kernel recursive least squares algorithm for stock market index ...

This paper suggests an enhanced fuzzy rule-based evolving participatory learning with kernel recursive least squares algorithm for stock market index ...

Accuracy and computational effort evaluation indicate the high potential of the kernel recursive participatory learning algorithm for stock market index ...

Stock Market Price Forecasting Using a Kernel Participatory Learning Fuzzy Model · List of references · Publications that cite this publication.

Resumo. This paper suggests an enhanced fuzzy rule-based evolving participatory learning with kernel recursive least squares algorithm for stock market ...

This paper addresses evolving fuzzy systems and financial ITS forecasting considering as the empirical application the main index of the Brazilian stock market, ...

This paper presents a data-driven approach applied to the long term prediction of daily time series in the Neural Forecasting Competition. The proposal ...

Jul 18, 2022 · This transformation allows better handling of inaccuracies with the data, proposing a model that can predict chaotic data with more exactness.

In this paper, a novel rule-based evolving Fuzzy System is proposed for time series forecasting. This is a robust model able to develop and update its structure ...