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» Using a neural network in the software testing process
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GECCO
2000
Springer
14 years 24 days ago
Modeling GA Performance for Control Parameter Optimization
Optimization of the control parameters of genetic algorithms is often a time consuming and tedious task. In this work we take the meta-level genetic algorithm approach to control ...
Vincent A. Cicirello, Stephen F. Smith
ICANN
2005
Springer
14 years 2 months ago
Evolving Modular Fast-Weight Networks for Control
Abstract. In practice, almost all control systems in use today implement some form of linear control. However, there are many tasks for which conventional control engineering metho...
Faustino J. Gomez, Jürgen Schmidhuber
IJCNN
2008
IEEE
14 years 3 months ago
Learning associations of conjuncted fuzzy sets for data prediction
— Fuzzy Associative Conjuncted Maps (FASCOM) is a fuzzy neural network that represents information by conjuncting fuzzy sets and associates them through a combination of unsuperv...
Hanlin Goh, Joo-Hwee Lim, Chai Quek
ICSE
1999
IEEE-ACM
14 years 1 months ago
Residual Test Coverage Monitoring
Structural coverage criteria are often used as an indicator of the thoroughness of testing, but complete satisfaction of a criterion is seldom achieved. When a software product is...
Christina Pavlopoulou, Michal Young
ICIP
2002
IEEE
14 years 10 months ago
Content-based image retrieval for digital mammography
In this work, we explore the use of a learning-based framework for retrieval of relevant mammogram images from a database, for purposes of aiding diagnoses. A fundamental issue is...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...