摘要
提出将人工智能中的人工神经网络技术和专家系统技术相结合 ,并将其引入弯曲件缺陷分析中去。系统的关键技术包括系统的知识表示、知识获取、知识库的构造及推理机策略的选用等。针对生产实际综合提取了弯曲件缺陷信息并加以分类选用 ,再用人工神经网络 (BP算法中的动量修正法 )进行处理。同时还对根据系统原理编写的BDANES (v1.0 )软件作了简要介绍。
The article showed the integration of artificial neural network and expert system in artificial intelligence, which was introduced in the analysis of bending parts' defects. The key techniques of system include the selection of knowledge acquisition, knowledge representation, knowledge database structure and reasoning mechanism of this system and so on. According to practical machining processes the information of bending parts' defects was selected synthetically and classified carfully and dealt with by artificial neural network (BP with momentum). The article introduced the BDANES (vl. 0) software in brief, which was established according to the mechanism of the system.
出处
《塑性工程学报》
EI
CAS
CSCD
2001年第1期35-39,共5页
Journal of Plasticity Engineering
