کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
384492 660848 2009 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Knowledge discovery of concrete material using Genetic Operation Trees
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Knowledge discovery of concrete material using Genetic Operation Trees
چکیده انگلیسی

This study proposed a novel knowledge discovery method, Genetic Operation Tree (GOT), which is composed of operation tree (OT) and genetic algorithm (GA), to automatically produce self-organized formulas to predict compressive strength of High-Performance Concrete. In GOT, OT plays the architecture to represent an explicit formula, and GA plays the optimization mechanism to optimize the OT to fit experimental data. Experimental data from several different sources were used to evaluate the method. The results showed that GOT can produce formulas which are more accurate than nonlinear regression formulas but less accurate than neural network models. However, neural networks are black box models, while GOT can produce explicit formulas, which is an important advantage in practical applications.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 36, Issue 3, Part 2, April 2009, Pages 5807–5812
نویسندگان
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