Network Traffic Prediction Using Radial Basis Function Neural Network Optimized by Ant Colony Algorithm
The disadvantages of the traditional radial basis function (RBF) neural network during the network traffic prediction process, such as a slow convergence rate and easy occurrence of local optima, result in low prediction precision. In this study, the ant colony optimization (ACO) algorithm is used t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IFSA Publishing, S.L.
2014-06-01
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| Series: | Sensors & Transducers |
| Subjects: | |
| Online Access: | http://www.sensorsportal.com/HTML/DIGEST/june_2014/Vol_172/P_2128.pdf |