Using the genetic algorithm to build optimal neural networks for fault-prone module detection

被引：12
|
作者：
Hochman, R [1 ]
Khoshgoftaar, TM [1 ]
Allen, EB [1 ]
Hudepohl, JP [1 ]
机构：
[1] FLORIDA ATLANTIC UNIV,DEPT COMP SCI & ENGN,BOCA RATON,FL 33431
来源：
SEVENTH INTERNATIONAL SYMPOSIUM ON SOFTWARE RELIABILITY ENGINEERING, PROCEEDINGS | 1996年
关键词：
backpropagation; classification problem; fault-prone module; fitness function; genetic algorithm; neural network; simulated evolution; software engineering problem; software metrics; software quality;
D O I：
10.1109/ISSRE.1996.558759
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
引用
收藏
页码：152 / 162
页数：11
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