Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Michael Kampouridis"'
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 4, p 34 (2024)
This research aims at applying the Artificial Organic Network (AON), a nature-inspired, supervised, metaheuristic machine learning framework, to develop a new algorithm based on this machine learning class. The focus of the new algorithm is to model
Externí odkaz:
https://doaj.org/article/69bfc93136974e0b9481dff916f95503
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2016 (2016)
Externí odkaz:
https://doaj.org/article/422c4643503245f9a701a55096dd1ed6
Autor:
Michael Kampouridis, Edward Tsang
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 5, Iss 3 (2012)
In this paper we present a new version of a GP financial forecasting tool, called EDDIE 8. The novelty of this version is that it allows the GP to search in the space of indicators, instead of using pre-specified ones. We compare EDDIE 8 with its pre
Externí odkaz:
https://doaj.org/article/901727c3ca3f48278582dd1d337f1d2b
Publikováno v:
Artificial Intelligence Review. 56:5619-5644
Directional changes (DC) is a recent technique that summarises physical time data (e.g. daily closing prices, hourly data) into events, offering traders a unique perspective of the market to create novel trading strategies. This paper proposes the us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5532d7ff99aaac01804e35a2431df55c
https://doi.org/10.1007/s10462-022-10307-0
https://doi.org/10.1007/s10462-022-10307-0
Publikováno v:
International Journal of Intelligent Systems. 36:7609-7640
The majority of forecasting methods use a physical time scale for studying price fluctuations of financial markets. Using physical time scales can make companies oblivious to significant activities in the market as the flow of time is discontinuous,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aecd019958d3aae2086f8d7c0f58ec3c
https://doi.org/10.1002/int.22601
https://doi.org/10.1002/int.22601
Publikováno v:
2022 IEEE Congress on Evolutionary Computation (CEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3eaad12696ba17553be7cba4b57cd98f
https://doi.org/10.1109/cec55065.2022.9870351
https://doi.org/10.1109/cec55065.2022.9870351
Publikováno v:
2022 IEEE Congress on Evolutionary Computation (CEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3de23af8ebbc45b72c83441307bee60d
https://doi.org/10.1109/cec55065.2022.9870270
https://doi.org/10.1109/cec55065.2022.9870270
Publikováno v:
2022 IEEE Congress on Evolutionary Computation (CEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::687957db76f88eac0355d733fd26dde8
https://doi.org/10.1109/cec55065.2022.9870240
https://doi.org/10.1109/cec55065.2022.9870240
Autor:
Fatim Z. Habbab, Michael Kampouridis
Publikováno v:
2022 IEEE Congress on Evolutionary Computation (CEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0699ccbd30eb45e1ddd6a0dbf9254a78
https://doi.org/10.1109/cec55065.2022.9870236
https://doi.org/10.1109/cec55065.2022.9870236
Publikováno v:
2022 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afe2eb09a1d0e5fde70d0b28e9f7e2b1
https://doi.org/10.1109/cifer52523.2022.9776074
https://doi.org/10.1109/cifer52523.2022.9776074