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Turing's Connectionism : an Investigation of Neural Network Architectures

Autore: Christof Teuscher
Pubblicazione: London : Springer London, 2002.
Serie: Discrete mathematics and theoretical computer science.
Edizione/Formato:   eBook : Document : EnglishVedi tutte le edizioni e i formati
Sommario:
Turing's connectionism provides a detailed and in-depth analysis of Turing's almost forgotten ideas on connectionist machines. In a little known paper entitled "Intelligent Machinery", Turing already investigated connectionist models as early as 1948. Unfortunately, his work was dismissed by his employer as a "schoolboy essay" and went unpublished until 1968, 14 years after his death. In this book, Christof Teuscher  Per saperne di più…
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Dettagli

Genere/formato: Electronic books
Informazioni aggiuntive sul formato: Print version:
Tipo materiale: Document, Risorsa internet
Tipo documento Risorsa Internet, Computer file
Tutti gli autori / Collaboratori: Christof Teuscher
ISBN: 9781447101611 1447101618
Numero OCLC: 853258570
Nota sulla lingua: English.
Descrizione: 1 online resource (xxiv, 200 pages).
Contenuti: Introduction --
Intelligent Machinery --
Synthesis of logical functions and digital systems with Turing networks --
Organizing unorganized machines --
Network Properties and characteristics --
Epilogue.
Titolo della serie: Discrete mathematics and theoretical computer science.
Responsabilità: by Christof Teuscher.

Sinossi:

Turing's connectionism provides a detailed and in-depth analysis of Turing's almost forgotten ideas on connectionist machines. In a little known paper entitled "Intelligent Machinery", Turing already investigated connectionist models as early as 1948. Unfortunately, his work was dismissed by his employer as a "schoolboy essay" and went unpublished until 1968, 14 years after his death. In this book, Christof Teuscher analyzes all aspects of Turing's "unorganized machines". Turing himself also proposed a sort of genetic algorithm to train the networks. This idea has been resumed by the author and genetic algorithms are used to build and train Turing's unorganized machines. Teuscher's work starts from Turing's initial ideas, but importantly goes beyond them. Many new kinds of machines and new aspects are considered, e.g., hardware implementation, analysis of the complex dynamics of the networks, hypercomputation, and learning algorithms.

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