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  • 1995-1999  (2)
  • Coefficient of variation of response  (1)
  • Fuzzy control  (1)
  • Mice
  • 1
    Electronic Resource
    Electronic Resource
    Automatic generation of a fuzzy rule base for constant turning force (1996)
    Springer
    Journal of intelligent manufacturing 7 (1996), S. 77-84 
    Details
    ISSN: 1572-8145
    Keywords: Fuzzy control ; genetic algorithms ; turning
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: An automatic fuzzy rule base generation method is proposed to control nonlinear and timevarying turning processes with constant cutting forces. Based on this study, the optimum fuzzy rule base for the control of turning processes can be self-organized without the need for experienced manufacturing engineers. A fuzzy logic controller based on these fuzzy rules can adjust feed rate on line to achieve an optimal production rate in turning operations.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00114140
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
  • 2
    Electronic Resource
    Electronic Resource
    Size of breeding populations required for selection programs (1995)
    Springer
    Theoretical and applied genetics 91 (1995), S. 553-556 
    Details
    ISSN: 1432-2242
    Keywords: Coefficient of variation of response ; Genetic drift ; Selection ; Effective-population size ; Short- and long-term
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract The minimum population size required for selection in order to reduce the effect of genetic drift to a particular level has been considered. The model of Nicholas was extended to include the measurement-error variance in the response variance. Situations where the sex ratios among scored and breeding individuals are unequal are also considered. When the duration of a selection experiment is relatively long, Nicholas' approximation (i.e., assuming that measurement error is negligible relative to drift) is useful in determining the minimum effective population size required. However, the measurement-error variance becomes an important source of variation in short-term (≤ 5 generations) selection experiments, and should not be ignored.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00223278
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
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