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Genetic algorithm synthesis of neural networks 원문보기

IPC분류정보
국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판)
  • G06F-015/18
출원번호 US-0329623 (1989-03-28)
발명자 / 주소
  • Guha Aloke (Minneapolis MN) Harp Steven A. (St. Paul MN) Samad Tariq (Minneapolis MN)
출원인 / 주소
  • Honeywell Inc. (Minneapolis MN 02)
인용정보 피인용 횟수 : 131  인용 특허 : 0

초록 ▼

The disclosure relates to the use of genetic learning techniques to evolve neural network architectures for specific applications in which a general representation of neural network architecture is linked with a genetic learning strategy to create a very flexible environment for the construction of

대표청구항 ▼

A method for synthesizing designs for neural networks which involves the use of a selected learning algorithm and a particular subject to be learned, comprising the steps of: A. devising a bit string parametric representation of a neural network architecture having relevant parameters, B. generating

이 특허를 인용한 특허 (131)

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