Andere Kunden interessierten sich auch für
![CBIR From Fruit Image Database and Recognition]( "CBIR From Fruit Image Database and Recognition")
CBIR From Fruit Image Database and Recognition22,99 €![Radial basis neural network optimization using fruit fly]( "Radial basis neural network optimization using fruit fly")
Radial basis neural network optimization using fruit fly47,95 €![Tone Labelling Algorithm for Sesotho]( "Tone Labelling Algorithm for Sesotho")
Tone Labelling Algorithm for Sesotho32,99 €![Image Inpainting using Exemplar Algorithm and Wavelet transform]( "Image Inpainting using Exemplar Algorithm and Wavelet transform")
Image Inpainting using Exemplar Algorithm and Wavelet transform23,99 €![The Hybrid Algorithm for Data Collection over a Tree Topology in WSN]( "The Hybrid Algorithm for Data Collection over a Tree Topology in WSN")
The Hybrid Algorithm for Data Collection over a Tree Topology in WSN36,99 €![A Novel Algorithm to solve N-Queens and Sum of Subset Problems]( "A Novel Algorithm to solve N-Queens and Sum of Subset Problems")
A Novel Algorithm to solve N-Queens and Sum of Subset Problems26,99 €![GSA-BBO Hybridization Algorithm]( "GSA-BBO Hybridization Algorithm")
GSA-BBO Hybridization Algorithm23,99 €
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.