Knowledge acquisition and revision via neural networks
We investigate how knowledge acquired by a neural network from one input environment can be transferred and revised for similar application in a new environment. Knowledge revision is achieved by re-training the neural network. Knowledge common to both environments are retained, while localized know...
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| Main Authors: | , , , |
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| Format: | text |
| Published: |
Animo Repository
2004
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/3632 |
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| Institution: | De La Salle University |