This paper investigates the capabilities of evolutionary online rule-based systems, also called Learning Classifier Systems (LCSs), for extracting knowledge from imbalanced data. While some learners may suffer from class imbalances and instances sparsely distributed around the feature space, we show that LCSs are flexible methods that can be adapted to detect such cases and find suitable models...

<p>Due to their rapid spread, computer worms perform harmful tasks in networks, posing a security risk; however, existing worm detection algorithms continue struggle achieve good performance and the reasons for that are: First, large amount of irrelevant data affects classification accuracy. Second, individual classifiers do not detect all types effectively. Third, many systems are based ...

in recent years, there has been a fast growth in wind energy conversion system (wecs). there are two general types of wind turbines in wecs: fixed speed wind turbines and varying speed wind turbines.permanent magnet synchronous generator (pmsg) is one of the most attractive generators for the varying speed turbine wecs.in this paper, a fuzzy controller is proposed to control the current source ...

Ladle refractories were subject to repeated chemical erosion and physical scouring by various hot fluids such as steel slag, liquid steel, argon oxygen. Firstly, the heat transfer model of ladle wall was established, refractory under different corrosion conditions analyzed. The relationship between residual thickness lining temperature field outer surface established. Secondly, a set infrared t...

Lack of detailed land use (LU) information and efficient data collection methods have made the modeling of urban systems difficult. This study aims to develop a novel hierarchical rule-based LU extraction framework using geographic vector and remotely sensed (RS) data, in order to extract detailed subzonal LU information, residential LU in this study. The LU extraction system is developed to ex...