标题：A Novel Intelligent Fuzzy Agent Based on Input-Output Association
作者：Li, Hui; Zhang, Qinfan; Duan, Peiyong
作者机构：[Li, Hui; Zhang, Qinfan] Shandong Univ, Sch Control Sci & Engn, Jinan 250014, Shandong, Peoples R China.; [Li, Hui] Shandong Jianzhu Univ, Sch Therm 更多
会议名称：8th World Congress on Intelligent Control and Automation (WCICA)
会议日期：JUL 06-09, 2010
来源：2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA)
关键词：Intelligent inhabited environments; Hebb rule; Fuzzy; Learning
摘要：The inhabited environments are MIMO, uncertainly, and nonlinear complex systems. This paper presents a novel intelligent fuzzy agent(IFA) based on input-output associational algorithm for intelligent inhabited environments. An input-output dynamic associational algorithm based on Hebb learning is proposed, which can divide a complex system into multiple simple systems and eliminate the irrelevant data from the learning data to improve the learning rate. The IFA learns the user's preferences according to the manually operation of the user and proactively controls the environments. Initially the IFA extracts the membership functions and fuzzy rules from the data captured. After that the IFA learns the membership functions and optimizes the fuzzy rules online when the user's preferences change. The experience results show that the proposed system is effective.