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Turing's Connectionism : an Investigation of Neural Network Architectures

Auteur : Christof Teuscher
Éditeur: London : Springer London, 2002.
Collection: Discrete mathematics and theoretical computer science.
Édition/format:   Livre électronique : Document : AnglaisVoir toutes les éditions et tous les formats
Résumé:
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 Unfortunately, his work was dismissed by his employer as a "schoolboy essay" and went unpublished until 1968, 14 years after his death.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  Lire la suite...
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Détails

Genre/forme: Electronic books
Format – détails additionnels: Print version:
Type d’ouvrage: Document, Ressource Internet
Type de document: Ressource Internet, Fichier d'ordinateur
Tous les auteurs / collaborateurs: Christof Teuscher
ISBN: 9781447101611 1447101618
Numéro OCLC: 853258570
Note sur la langue: English.
Description: 1 online resource (xxiv, 200 pages).
Contenu: Introduction --
Intelligent Machinery --
Synthesis of logical functions and digital systems with Turing networks --
Organizing unorganized machines --
Network Properties and characteristics --
Epilogue.
Titre de collection: Discrete mathematics and theoretical computer science.
Responsabilité: by Christof Teuscher.

Résumé:

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 Unfortunately, his work was dismissed by his employer as a "schoolboy essay" and went unpublished until 1968, 14 years after his death.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