从优化角度提出了从事例中获取知识的机器学习方法。该方法利用模拟退火算法,按照预定的优化目标,从事例中生成最优的产生式规则,给出其算法,并以旋转机械故障诊断知识获取为例,阐述了基于模拟退火算法的知识获取机制及其实现方法。 From the perspective of optimization, a machine learning method of obtaining knowledge from examples is proposed. This method uses simulated annealing algorithm to generate the optimal production rules according to the pre-determined optimization objectives and gives its algorithm. Taking knowledge acquisition of rotating machinery fault diagnosis as an example, the knowledge acquisition mechanism based on simulated annealing algorithm And its implementation.