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Turing's Connectionism : an Investigation of Neural Network Architectures

저자: Christof Teuscher
출판사: London : Springer London, 2002.
시리즈: Discrete mathematics and theoretical computer science.
판/형식:   전자도서 : 문서 : 영어모든 판과 형식 보기
요약:
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 Unfortunately, his work was dismissed by his employer as a "schoolboy essay" and went unpublished until 1968, 14 years after his death.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  더 읽기…
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장르/형태: Electronic books
추가적인 물리적 형식: Print version:
자료 유형: 문서, 인터넷 자료
문서 유형 인터넷 자원, 컴퓨터 파일
모든 저자 / 참여자: Christof Teuscher
ISBN: 9781447101611 1447101618
OCLC 번호: 853258570
언어 메모: English.
설명: 1 online resource (xxiv, 200 pages).
내용: Introduction --
Intelligent Machinery --
Synthesis of logical functions and digital systems with Turing networks --
Organizing unorganized machines --
Network Properties and characteristics --
Epilogue.
일련 제목: Discrete mathematics and theoretical computer science.
책임: by Christof Teuscher.

초록:

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 Unfortunately, his work was dismissed by his employer as a "schoolboy essay" and went unpublished until 1968, 14 years after his death.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