摘要
The learning method to acquire decision rules from a set of preclassified examples is an important research area in machine learning. A novel learning method is proposed, which is a combination of the GAs and the bottom-up induction process. The method was implemented in a system called KAA. The performance of the method was evaluated by applying it to 20-multiplexer problem and the results show that its accuracy is higher than that of the others.
基金
Project supported by the National High-Tech Programme of China.
