摘要
该文在实例推理技术中采用ART神经网络实现了实例的动态分类和索引,利用该网络的自适应、自学习能力,提高了实例检索的速度和效率。
This paper introduces ART neural networks to realize the dynamic classification and to index the case in case-based reasoning technology,to improve the speed and efficiency on searching case,the use of this networks adaptive,self-learning ability.
出处
《电脑知识与技术（过刊）》
2009年第4X期4525-4526,共2页
Computer Knowledge and Technology
关键词
实例推理
甘蔗收割机
ART网络
case-based reasoning
sugarcane harvester
ART networks
