The Effects of Using Results from Inversion by Evolutionary Algorithms to Retrain Artificial Neural Networks
The aim of inverting artificial neural networks (ANNs) is to find input patterns that are strongly classified as a predefined class. In this project an ANN is inverted by an evolutionary algorithm. The network is retrained by using the patterns extracted by the inversion as counter-examples, i.e. to...
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| Format: | Others |
| Language: | English |
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Högskolan i Skövde, Institutionen för datavetenskap
2000
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-411 |