Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Konstantina-Maria Stamatopoulou"'
Autor:
George-Peter K, Economou, Efrosini, Sourla, Konstantina-Maria, Stamatopoulou, Vasileios, Syrimpeis, Spyros, Sioutas, Athanasios, Tsakalidis, Giannis, Tzimas
Publikováno v:
Advances in experimental medicine and biology. 820
An improved Adaptive Neuro-Fuzzy Inference System (ANFIS) in the field of critical cardiovascular diseases is presented. The system stems from an earlier application based only on a Sugeno-type Fuzzy Expert System (FES) with the addition of an Artifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::c72a5dca0bd97f703743b2141dd057ec
https://pubmed.ncbi.nlm.nih.gov/25417018
https://pubmed.ncbi.nlm.nih.gov/25417018
Autor:
George-Peter K. Economou, Efrosini Sourla, Spyros Sioutas, Konstantina-Maria Stamatopoulou, Athanasios K. Tsakalidis, Giannis Tzimas, Vasileios Syrimpeis
Publikováno v:
Advances in Experimental Medicine and Biology ISBN: 9783319090115
An improved Adaptive Neuro-Fuzzy Inference System (ANFIS) in the field of critical cardiovascular diseases is presented. The system stems from an earlier application based only on a Sugeno-type Fuzzy Expert System (FES) with the addition of an Artifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54a5b72e0ac68e9626884d061aa33306
https://doi.org/10.1007/978-3-319-09012-2_6
https://doi.org/10.1007/978-3-319-09012-2_6
Autor:
Vasileios Syrimpeis, Giannis Tzimas, Efrosini Sourla, Konstantina-Maria Stamatopoulou, Georgios Merekoulias, Athanasios K. Tsakalidis
Publikováno v:
Engineering Applications of Neural Networks ISBN: 9783642410154
EANN (2)
EANN (2)
This paper presents a Sugeno-type Fuzzy Expert System (FES) designed to help mostly Cardiologists and General Practitioners in taking decisions on the most common cardiological clinical dilemmas. FES is separated in five sub-systems; Coronary Disease
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e8a4b050025686761645a71487ae4a9
https://doi.org/10.1007/978-3-642-41016-1_9
https://doi.org/10.1007/978-3-642-41016-1_9