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[其他资源] A Genetic Programming-Driven Data Fitting Method

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杨利霞        

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    2021-8-11 17:59
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    发表于 2020-11-12 16:33 |只看该作者 |正序浏览
    |招呼Ta 关注Ta
    A Genetic Programming-Driven
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    Data Fitting Method
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    Data fifitting is the process of constructing a curve, or a set of mathematical functions, that has
    $ Y4 }) T$ G: T) H, V1 Y4 o& Z7 Cthe best fifit to a series of data points. Different with constructing a fifitting model from same type of function,
    / h" Y; ~* O  r" c0 C( gsuch as the polynomial model, we notice that a hybrid fifitting model with multiple types of function may have
    % T7 N; K5 g, B' {+ P6 v( T: o: `8 Z4 Ya better fifitting result. Moreover, this also shows better interpretability. However, a perfect smooth hybrid- Z! r/ C% }5 u) M3 G( ?9 k/ _+ F
    fifitting model depends on a reasonable combination of multiple functions and a set of effective parameters.5 |* j" A+ Q7 w# `3 A
    That is a high-dimensional multi-objective optimization problem. This paper proposes a novel data fifitting
    , |6 S0 e* G. m, ~2 \  Emodel construction approach. In this approach, the model is expressed by an improved tree coding expression
    2 G! ?) ^7 T" J0 K2 o) |and constructed through an evolution search process driven by the genetic programming. In order to verify! j) R. `8 }$ E
    the validity of generated hybrid fifitting model, 6 prediction problems are chosen for experiment studies. The
    , E* v9 y  O6 q& _3 c' u% [experimental results show that the proposed method is superior to 7 typical methods in terms of the prediction3 C  h2 T0 Q" s9 b+ G1 e8 a
    accuracy and interpretability
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    A Genetic Programming-Driven.pdf

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