摘要
在文献［１］的基础上，给出了确定ＦＢＡＭ平衡态的方法，由此得到有关平衡态的３个性质，并证明了ＦＢＡＭ的平衡态是一致稳定的；利用Ｓ及Ｔ算子的合成函数和学习算法，得到了适用更为广泛的广义ＦＢＡＭ模型．
On the basis of paper , the method to determinate the equilibrium states of FBAM is introduced, and three properties are obtained. The consistent stability of the balanced states is proved. FBAM is extended by using the integrative function and learning algorithm of S and T operators. And the extendend FBAM can be applied in a wider range.
出处
《中国矿业大学学报》
EI
CAS
CSCD
北大核心
1998年第4期441-444,共4页
Journal of China University of Mining & Technology
基金
煤炭高校优秀青年教师基金
关键词
模糊
双向联想记忆
学习算法
FBAM平衡态
fuzzy bidirectional associative memories (FBAM), stability of balanced states, learning algorithm, integrative function
