Amended Fruit Fly Algorithm - Anurag Rana
-30% ar kodu BOOKS
Piegāde 12-18 darba dienu laikā
30 dienu atgriešanas politika
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. ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Anurag Rana |
|---|---|
| Izdevējs | LAP LAMBERT Academic Publishing |
| Izlaides gads | 2019 |
| Vāka tips | Mīkstais vāks |
| EAN | 9786200283191 |