What kind of "world order"? : an artificial neural networks approach to intensive data mining
Year of publication: |
April 2017
|
---|---|
Authors: | Buscema, Massimo ; Ferilli, Guido ; Sacco, Pier Luigi |
Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 117.2017, p. 46-56
|
Subject: | World order | Global alliances | Conflict | Open society | Artificial Neural Networks (ANNs) | Activation & Competition System (ACS) | Neuronale Netze | Neural networks | Welt | World | Theorie | Theory | Data Mining | Data mining | Globalisierung | Globalization | Künstliche Intelligenz | Artificial intelligence | Weltordnung |
-
An efficient FLANN model with CRO-based gradient descent learning for classification
Naik, Bighnaraj, (2016)
-
Application of predictive methods to financial data sets
Habibi, Reza, (2021)
-
A machine learning pipeline for forecasting time series in the banking sector
Gorodetskaya, Olga, (2021)
- More ...
-
Understanding cultural geography as a pseudo-diffusion process: The case of the Veneto Region
Ferilli, Guido, (2015)
-
Understanding cultural geography as a pseudo-diffusion process : the case of the Veneto Region
Ferilli, Guido, (2015)
-
The complex dynamic evolution of cultural vibrancy in the region of Halland, Sweden
Buscema, Massimo, (2020)
- More ...