Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Thomas Amorgianiotis"'
Publikováno v:
INISTA
Prediction and modelling of the financial indices is a very challenging and demanding problem because its dynamic, noisy and multivariate nature. Modern approaches have also to challenge the fact that they are dependencies between different global fi
Autor:
Nikolaos A. Zervos, Andreas Papalambrou, Konstantinos Arvanitis, George Raptis, Christos Alexakos, Thomas Amorgianiotis
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783319449432
AIAI
AIAI
Business managers support that decisions based on data analysis are better decisions. Nowadays, in the era of digital information, the accessible information sources are increasing rapidly, especially on the Internet. Also, the most critical informat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72beb0b267d71caef45cf1eab1537bf5
https://doi.org/10.1007/978-3-319-44944-9_54
https://doi.org/10.1007/978-3-319-44944-9_54
Autor:
Georgios Sermpinis, Andreas Karathanasopoulos, Spiros Likothanassis, Konstantinos Theofilatos, Efstratios F. Georgopoulos, Thomas Amorgianiotis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e944af0e4bbb7dcd66d630232a110d27
https://doi.org/10.4324/9780203084984-21
https://doi.org/10.4324/9780203084984-21
Autor:
Konstantinos Theofilatos, Sovan Mitra, Efstratios F. Georgopoulos, Thomas Amorgianiotis, Spiros Likothanassis
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319125671
AIAI Workshops
AIAI Workshops
During the financial crisis of 2009 traditional models have failed to provide satisfactory results. Lately many techniques have been proposed to overcome the deficiencies of traditional models but most of them deal with the examined financial indices
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c84f09dd3d7d2fff0eb5f8c2aa6688b
https://doi.org/10.1007/978-3-662-44722-2_36
https://doi.org/10.1007/978-3-662-44722-2_36
Autor:
Efstratios F. Georgopoulos, Konstantinos Theofilatos, Andreas Karathanasopoulos, Spiros Likothanassis, Georgios Sermpinis, Thomas Amorgianiotis
Publikováno v:
Engineering Applications of Neural Networks ISBN: 9783642329081
EANN
EANN
In the current paper we study an evolutionary framework for the optimization of various types Neural Networks’ structure and parameters. Two different adaptive evolutionary algorithms, named as adaptive Genetic Algorithms (aGA) and adaptive Differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8856b60191cb31ca0a587573b0bca555
https://doi.org/10.1007/978-3-642-32909-8_46
https://doi.org/10.1007/978-3-642-32909-8_46