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- W2149689951 abstract "There is investigated the problem of structuring neural networks. This is a crucial task in designing neural networks similar to the corresponding task of designing modular software systems. We propose a particulary new approach of invoking inductive inference techniques for recognizing regularities in the partially given relation to be implemented and for proposing a prestructured net. Furthermore there will be given some mathematical foundations of the choosen approach in form of some convergence theorems by using the back-propagation strategy. Finally we show some connections to the field of PAC-Learning." @default.
- W2149689951 created "2016-06-24" @default.
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- W2149689951 date "1995-01-01" @default.
- W2149689951 modified "2023-09-27" @default.
- W2149689951 title "Structuring neural networks and PAC-Learning" @default.
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- W2149689951 doi "https://doi.org/10.1007/3-540-60217-8_20" @default.
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