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- W1569318173 abstract "This paper describes a new approeich for evolving recurrent neural networks using Genetic Programming. A system has been developed to train weightless neural networks using construction rules. The network construction rules are evolved by the Genetic Programming system which build the solution neural networks. The use of rules allows networks to be constructed modularly. Experimentation with decomposable Boolean functions has revealed that the performance of the system is superior to a non-modular version of the system." @default.
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- W1569318173 date "1999-01-01" @default.
- W1569318173 modified "2023-09-27" @default.
- W1569318173 title "Evolving Modular Neural Networks Using Rule-Based Genetic Programming" @default.
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- W1569318173 doi "https://doi.org/10.1007/3-540-46695-9_47" @default.
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