On the capacity of multilayer neural networks trained with backpropagation |
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Authors: | Miranda E N |
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Affiliation: | CRICYT - CONICET, Mendoza, Argentina. emiranda@lab.cricyt.edu.ar |
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Abstract: | The capacity of a layered neural network for learning hetero-associations is studied numerically as a function of the number M of hidden neurons. We find that there is a sharp change in the learning ability of the network as the number of hetero-associations increases. This fact allows us to define a maximum capacity C for a given architecture. It is found that C grows logarithmically with M. |
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