摘要
调味是在基础酒的基础上进行的一项工艺加工技术,由于影响口感的因素比较复杂,导致调味过程难以准确数字化。基于这种情况,本文提出采用跟踪人工调味过程,模仿、学习调味专家的知识经验,建立一个简单高效、能不断学习调整的专家调味知识系统,用以指导计算机调味过程。阐述了白酒调味专家系统的结构组成、知识表示和推理机制,并给出了模糊推理算法。通过实例分析证实了模糊推理算法的有效性。系统的使用能稳定、提高白酒的质量和口感。
Because the factors which influence gestation are more complicated such as individual difference, the self influence of subjective and objective factor, furthermore gestation does not meet rigorously with linear relation, namely can＇t be added or subtracted simply. The course of season is hard to be accurate digitized. A expert fuzzy reason algorithm are put forward which track the man- made course of season, learn and imitate expert knowledge and experience, then build a simple high efficiency expert system which can constantly learn the adjust itself to guide the computer season. In the paper, the structure component of white spirit season expert system, knowledge representation and inference mechanism are expounded, The fuzzy reason algorithm is also formulated. Experimentations are conducted and the algorithm effectiveness is confirmed. The system can improve the quality and the gestation of white spirit.
出处
《酿酒》
CAS
2006年第3期72-75,共4页
Liquor Making
关键词
品评
调味
专家系统
模糊推理
size up
season
expert system
fuzzy reasoning
