Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Mahmoud Abou-Nasr"'
Autor:
Robert Stahlbock, Gary M. Weiss, Mahmoud Abou-Nasr, Cheng-Ying Yang, Hamid R. Arabnia, Leonidas Deligiannidis
The book presents the proceedings of two conferences: the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020), which took place in Las Vegas, NV, USA, Jul
Data mining applications range from commercial to social domains, with novel applications appearing swiftly; for example, within the context of social networks. The expanding application sphere and social reach of advanced data mining raise pertinent
Publikováno v:
Handbook on Computational Intelligence: In 2 Volumes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::141e0cdd45223cdcb73b813689168b25
https://doi.org/10.1142/9789814675017_0026
https://doi.org/10.1142/9789814675017_0026
Publikováno v:
Annals of Information Systems ISBN: 9783319078113
Real World Data Mining Applications
Real World Data Mining Applications
Data mining applications range from commercial to social domains, with novel applications appearing swiftly; for example, within the context of social networks. The expanding application sphere and social reach of advanced data mining raise pertinent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d491f6020143dcdc3ec15f84c76b8f8
https://doi.org/10.1007/978-3-319-07812-0
https://doi.org/10.1007/978-3-319-07812-0
New research by international contributors on Data Mining
Publikováno v:
Annals of Information Systems ISBN: 9783319078113
In this chapter, we present a novel data driven approach based on supervised training of feed forward neural networks for solving nonlinear optimization problems. Then we extend the approach to approximate the solution of deterministic, discrete dyna
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a76e6e52444a1006ce1181359080d95a
https://doi.org/10.1007/978-3-319-07812-0_17
https://doi.org/10.1007/978-3-319-07812-0_17
Publikováno v:
Annals of Information Systems ISBN: 9783319078113
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::294b9cf07cdf36a4027a2c73ccc1554c
https://doi.org/10.1007/978-3-319-07812-0_1
https://doi.org/10.1007/978-3-319-07812-0_1
Publikováno v:
IJCNN
This paper addresses modeling and predicting vehicle fuel economy based on simple vehicle characteristics. The models are identified using a historical vehicle fuel economy data set. First, the use of least squares regression analysis is pursued, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::213b4bd4c3666adcb8bd163405b5aae4
https://doi.org/10.1109/ijcnn.2013.6707111
https://doi.org/10.1109/ijcnn.2013.6707111
Publikováno v:
CYBCONF
This paper presents an architecture for optimally modulating the cruise speed around its set point. Our objective is to minimize the overall fuel consumption over a trip without impacting the overall trip time, by exploiting the vehicle dynamics and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::811b69fb10900fc3b5152649a7d55bbb
https://doi.org/10.1109/cybconf.2013.6617461
https://doi.org/10.1109/cybconf.2013.6617461
Autor:
Maher A. Sid-Ahmed, Mahmoud Abou-Nasr
Publikováno v:
Pattern Recognition. 28:581-593
A prototype based neural network classifier (NNC) is presented. Studies on prototype based classifiers show that they can rapidly learn compared to classifiers that use gradient descent methods R. P. Lippmam. IEEE Communications Magazine 27, 47–54
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9971ee5323ac4007bd9c918e258da978
https://doi.org/10.1016/0031-3203(94)00114-2
https://doi.org/10.1016/0031-3203(94)00114-2