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Turing's Connectionism : an Investigation of Neural Network Architectures

著者: Christof Teuscher
出版社: London : Springer London, 2002.
シリーズ: Discrete mathematics and theoretical computer science.
エディション/フォーマット:   電子書籍 : Document : Englishすべてのエディションとフォーマットを見る
概要:
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 Unfortunately, his work was dismissed by his employer as a "schoolboy essay" and went unpublished until 1968, 14 years after his death.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  続きを読む
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ジャンル/形式: Electronic books
その他のフォーマット: Print version:
資料の種類: Document, インターネット資料
ドキュメントの種類 インターネット資料, 電子ファイル
すべての著者/寄与者: Christof Teuscher
ISBN: 9781447101611 1447101618
OCLC No.: 853258570
言語注記: English.
物理形態: 1 online resource (xxiv, 200 pages).
コンテンツ: Introduction --
Intelligent Machinery --
Synthesis of logical functions and digital systems with Turing networks --
Organizing unorganized machines --
Network Properties and characteristics --
Epilogue.
シリーズタイトル: Discrete mathematics and theoretical computer science.
責任者: by Christof Teuscher.

概要:

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 Unfortunately, his work was dismissed by his employer as a "schoolboy essay" and went unpublished until 1968, 14 years after his death.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