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  • 1995-1999  (2)
  • 1925-1929
  • 1997  (2)
  • High Order networks  (1)
  • amorphous glassy circular polymeric bars  (1)
  • 1
    Electronic Resource
    Electronic Resource
    A finite element analysis of the large plastic deformation behavior of amorphous glassy circular polymeric bars (1997)
    Springer
    Acta mechanica solida Sinica 10 (1997), S. 138-147 
    Details
    ISSN: 0894-9166
    Keywords: BPA molecular network model ; finite element formulation ; amorphous glassy circular polymeric bars ; deformation localization development
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Physics
    Notes: Abstract The BPA eight-chain molecular network model is introduced into the finite element formulation of elastic-plastic large deformation. And then, the tensile deformation localization development of the amorphous glassy circular polymeric bars (such as polycarbonates) is numerically simulated. The simulated results are compared with experimental ones, and very good consistence between numerical simulation and experiment is obtained, which shows the efficiency of the finite element analysis. Finally, the influences of the microstructure parameterS ss on tensile neck-propagation and triaxial stress effect are studied.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02207741
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Experiments of Fast Learning with High Order Boltzmann Machines (1997)
    Springer
    Applied intelligence 7 (1997), S. 287-303 
    Details
    ISSN: 1573-7497
    Keywords: Neural Networks ; Boltzmann Machines ; High Order networks ; Classification Problems
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract This work reports the results obtained with the application of High Order Boltzmann Machines without hidden units to construct classifiers for some problems that represent different learning paradigms. The Boltzmann Machine weight updating algorithm remains the same even when some of the units can take values in a discrete set or in a continuous interval. The absence of hidden units and the restriction to classification problems allows for the estimation of the connection statistics, without the computational cost involved in the application of simulated annealing. In this setting, the learning process can be sped up several orders of magnitude with no appreciable loss of quality of the results obtained.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1008257203142
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Paper (German National Licenses)
    Fulltext
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