GCS with Real-Valued Input

摘要

The new learning classifier system is described to classify real-valued data. The approach applies the continous-valued context-free grammar based system GCS. In order to handle effectively, the terminal rules have been replaced by the so-called environment probing rules. The rGCS model has been tested on the checkerboard problem.