Amended Fruit Fly Algorithm
(Sprache: Englisch)
This research presents the optimization of radial basis function (RBF) neural network using aFOA and establishment of the network model, adopting it with the combination of the evaluation of the mean impact value (MIV) to select variables. The form of...
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This research presents the optimization of radial basis function (RBF) neural network using aFOA and establishment of the network model, adopting it with the combination of the evaluation of the mean impact value (MIV) to select variables. The form of amended fruit fly optimization algorithm (aFOA) is easy to learn and has the characteristics of quick convergence and not readily dropping into local optimum. The validity of the model is tested by two actual examples, furthermore, it is simpler to learn, more stable and practical.
Autoren-Porträt von Anurag Rana
Rana, AnuragAnurag Rana holds the M.Tech. CSE specialization in Soft Computing. He published 21+ research paper in various reputed international and national journals. He organized and attended FDP, conferences, and Workshops.
Bibliographische Angaben
- Autor: Anurag Rana
- 2019, 100 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6200283192
- ISBN-13: 9786200283191
Sprache:
Englisch
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