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Turing's Connectionism : an Investigation of Neural Network Architectures

著者: Christof Teuscher
出版商: London : Springer London, 2002.
丛书: Discrete mathematics and theoretical computer science.
版本/格式:   电子图书 : 文献 : 英语查看所有的版本和格式
提要:
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 Unfortunately, his work was dismissed by his employer as a "schoolboy essay" and went unpublished until 1968, 14 years after his death.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  再读一些...
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类型/形式: Electronic books
附加的形体格式: Print version:
材料类型: 文献, 互联网资源
文档类型 互联网资源, 计算机文档
所有的著者/提供者: Christof Teuscher
ISBN: 9781447101611 1447101618
OCLC号码: 853258570
语言注释: English.
描述: 1 online resource (xxiv, 200 pages).
内容: Introduction --
Intelligent Machinery --
Synthesis of logical functions and digital systems with Turing networks --
Organizing unorganized machines --
Network Properties and characteristics --
Epilogue.
丛书名: Discrete mathematics and theoretical computer science.
责任: by Christof Teuscher.

摘要:

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 Unfortunately, his work was dismissed by his employer as a "schoolboy essay" and went unpublished until 1968, 14 years after his death.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