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https://hdl.handle.net/10216/67390| Author(s): | Francisco Reinaldo Rui Camacho Luís P. Reis Demétrio Renó Magalhães |
| Title: | Fine-tuning artificial neural networks automatically |
| Issue Date: | 2007 |
| Abstract: | To get the most out of powerful tools expert knowledge is often required. Experts are the ones with the suitable knowledge to tune the tools parameters. In this paper we assess several techniques which can automatically fine tune ANN parameters. Those techniques include the use of GA and Stratified Sampling. The tuning includes the choice of the best ANN structure and the best network biases and their weights. Empirical results achieved in experiments performed using nine heterogeneous data sets show that the use of the proposed Stratified Sampling technique is advantageous. |
| Subject: | Engenharia do conhecimento, Engenharia electrotécnica, electrónica e informática Knowledge engineering, Electrical engineering, Electronic engineering, Information engineering |
| Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
| DOI: | 10.1007/978-0-387-84814-3_5 |
| URI: | https://hdl.handle.net/10216/67390 |
| Source: | EUROPEAN COMPUTING CONFERENCE |
| Document Type: | Artigo em Livro de Atas de Conferência Internacional |
| Rights: | openAccess |
| License: | https://creativecommons.org/licenses/by-nc/4.0/ |
| Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| 64419.pdf | Fine-tuning Artificial Neural Networks Automatically | 96.75 kB | Adobe PDF |  View/Open |
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