Utilize este identificador para referenciar este registo: http://hdl.handle.net/10451/14240
Título: Building a Neural Computer
Autor: Carreira, Paulo J.F.
Rosa, Miguel A.
Neto, João Pedro
Costa, José Félix
Palavras-chave: 
Data: Dez-1998
Editora: Department of Informatics, University of Lisbon
Relatório da Série N.º: di-fcul-tr-98-8
Resumo: In the work of [Siegelmann 95] it was showed that Artificial Recursive Neural Networks have the same computing power as Turing machines. A Turing machine can be programmed in a proper high-level language - the language of partial recursive functions. In this paper we present the implementation of a compiler that directly translates high-level Turing machine programs to Artificial Recursive Neural Networks. The application contains a simulator that can be used to test the resulting networks. We also argue that experiments like this compiler may give us clues on procedures for automatic synthesis of Artificial Recursive Neural Networks from high-level descriptions
URI: http://hdl.handle.net/10451/14240
http://repositorio.ul.pt/handle/10455/2941
Aparece nas colecções:FC-DI - Technical Reports

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