摘要
本文对示例式学习的ID5R算法进行了深入的研究并作了进一步的改进,提高了其计算效率.并提出一种适合于增量式学习的抗干扰机制,拓广了算法的适用范围.
his paper introduces the MKR algorithm for Military Knowledge Acquisition system. MKR is an incremental and efficient algorithm for learning from examples. In MKR, this paper made a further improvement on IDSR algorithm, raising it's efficiency.This paper also developed an anti-disturbance mechanism in MKR, extending the field in which the algorithm can be applied.
出处
《软件学报》
EI
CSCD
北大核心
1994年第4期28-34,共7页
Journal of Software