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The method of estimated comparison was first proposed with a potential model for function approximation [16] and shown to be efficient with much less evaluations compared to DE.
In the case of the large ball mill, this paper presents in detail the application of the stress strength distribution interference theory to calculate the reliability of gear transmission, establishes the Kriging model for function fitting, and uses genetic algorithm to globally optimize the volume and reliability of large ball mill gear transmission.
The resulting formulation of LS-SVM model for function estimation becomes: yleft( x right) = mathop sum limits_{k = 1}^{N} alpha_{k} Kleft( {x,x_{k} } right) + b (10 where ( tau ) refers to the slope, d stands for the polynomial degree, σ2 is the kernel sample variance, and ( left( {b, alpha } right) ) represents the solution to the linear system of equations shown in Eq. (9).
What's possibly different, however, is that in the past architects used nature as a model for form, whereas now they speak of it as a model for function.
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Model I: backward regression model for functions, n = 345.
Numerical analysis using three-dimensional Reynolds-averaged Navier Stokes equations, surrogate modelling for function approximation, and a multi-objective genetic algorithm were used for the optimization.
Although promoters follow general rules in terms of their nucleotide sequence, structure, length and position, many variations on the canonical promoter model allow for function.
The Malpighian tubules, which represent the Drosophila functional equivalent of mammalian kidneys, have been studied extensively as a model for renal function and epithelial fluid transport [22].
We now propose a concerted model for IpaJ function that highlights its potential for programmable demyristoylation in vivo.
The results favor a new model for the function of centromere coupling.
The most rational model for the function of ASGPR seems to be the galactosyl homeostasis hypothesis, proposed by Weigel [34].
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