Literature DB >> 1502516

How neural networks learn from experience.

G E Hinton1.   

Abstract

Mesh：

Year:  1992        PMID： 1502516     DOI： 10.1038/scientificamerican0992-144

Source DB:  PubMed          Journal:  Sci Am        ISSN： 0036-8733            Impact factor:   2.142


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  17 in total

1.  Registered designation of origin areas of fermented food products defined by microbial phenotypes and artificial neural networks.

Authors:  M F Lopes; C I Pereira; F M Rodrigues; M P Martins; M C Mimoso; T C Barros; J J Figueiredo Marques; R P Tenreiro; J S Almeida; M T Barreto Crespo
Journal:  Appl Environ Microbiol       Date:  1999-10       Impact factor: 4.792

2.  An investigation of neural networks in thyroid function diagnosis.

Authors:  G Zhang; V L Berardi
Journal:  Health Care Manag Sci       Date:  1998-09

3.  Merging race models and adaptive networks: a parallel race network.

Authors:  Denis Cousineau
Journal:  Psychon Bull Rev       Date:  2004-10

4.  Tracking the states of a nonlinear and nonstationary system in the weight-space of artificial neural networks.

Authors:  T Emoto; M Akutagawa; U R Abeyratne; H Nagashino; Y Kinouchi
Journal:  Med Biol Eng Comput       Date:  2006-03       Impact factor: 2.602

5.  Artificial neural networks: useful aid in diagnosing acute appendicitis.

Authors:  S G Prabhudesai; S Gould; S Rekhraj; P P Tekkis; G Glazer; P Ziprin
Journal:  World J Surg       Date:  2008-02       Impact factor: 3.352

Review 6.  Keeping in mind the mind: mental functions, networks and neurosurgery.

Authors:  H J Steiger; J Ilmberger
Journal:  Acta Neurochir (Wien)       Date:  1996       Impact factor: 2.216

7.  Cost minimization using an artificial neural network sleep apnea prediction tool for sleep studies.

Authors:  Rahel A Teferra; Brydon J B Grant; Jesse W Mindel; Tauseef A Siddiqi; Imran H Iftikhar; Fatima Ajaz; Jose P Aliling; Meena S Khan; Stephen P Hoffmann; Ulysses J Magalang
Journal:  Ann Am Thorac Soc       Date:  2014-09

8.  Prediction of mortality in an Indian intensive care unit. Comparison between APACHE II and artificial neural networks.

Authors:  Ashish Nimgaonkar; Dilip R Karnad; S Sudarshan; Lucila Ohno-Machado; Isaac Kohane
Journal:  Intensive Care Med       Date:  2004-01-15       Impact factor: 17.440

9.  Artificial neural network modeling of dissolved oxygen in the Heihe River, Northwestern China.

Authors:  Xiaohu Wen; Jing Fang; Meina Diao; Chuanqi Zhang
Journal:  Environ Monit Assess       Date:  2012-09-22       Impact factor: 2.513

10.  Modeling mortality in the intensive care unit: comparing the performance of a back-propagation, associative-learning neural network with multivariate logistic regression.

Authors:  G S Doig; K J Inman; W J Sibbald; C M Martin; J M Robertson
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1993
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