Prediction Accuracy of Neural Network Models
A view of models used for Internet traffic prediction using neural network applications is presented. We look at the problem of traffic prediction in the presence of self-similarity. Our experiments inspect prediction error of linear, multilayer perceptron and radial basis function networks. Ill. 5, bibl. 12 (in English; summaries in English, Russian and Lithuanian).
Authors retain copyright and grant the journal the right of the first publication with the paper simultaneously licensed under the Creative Commons Attribution 4.0 (CC BY 4.0) licence.
Authors are allowed to enter into separate, additional contractual arrangements for the non-exclusive distribution of the paper published in the journal with an acknowledgement of the initial publication in the journal.
Copyright terms are indicated in the Republic of Lithuania Law on Copyright and Related Rights, Articles 4-37.