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Turing's Connectionism : an Investigation of Neural Network Architectures

Autor: Christof Teuscher
Verlag: London : Springer London, 2002.
Serien: Discrete mathematics and theoretical computer science.
Ausgabe/Medienart   E-Book : Dokument : EnglischAlle Ausgaben und Medienarten anzeigen
Zusammenfassung:
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 Unfortunately, his work was dismissed by his employer as a "schoolboy essay" and went unpublished until 1968, 14 years after his death.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  Weiterlesen…
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Gattung/Form: Electronic books
Physisches Format Print version:
Medienart: Dokument, Internetquelle
Dokumenttyp Internet-Ressource, Computerdatei
Alle Autoren: Christof Teuscher
ISBN: 9781447101611 1447101618
OCLC-Nummer: 853258570
Sprachhinweis: English.
Beschreibung: 1 online resource (xxiv, 200 pages).
Inhalt: Introduction --
Intelligent Machinery --
Synthesis of logical functions and digital systems with Turing networks --
Organizing unorganized machines --
Network Properties and characteristics --
Epilogue.
Serientitel: Discrete mathematics and theoretical computer science.
Verfasserangabe: by Christof Teuscher.

Abstract:

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 Unfortunately, his work was dismissed by his employer as a "schoolboy essay" and went unpublished until 1968, 14 years after his death.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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