摘要
把模糊子集的隶属函数取为B样条函数,利用B样条函数的正定性,紧密性和归一性,可以使得通常模糊系统输出中的分母削去,并且训练过程中权值的调整也限制在局部范围内。最后证明了其全局逼近特性。
B spline function as fuzzy subset's membership function is used. In terms of its positivity, compact support and normalization, the denominator of the defuzzified output is diminished, and the adjustments of the weights are confined locally. Finally, the property of the universal approximation is proved.
出处
《华东船舶工业学院学报》
EI
1999年第2期14-18,共5页
Journal of East China Shipbuilding Institute(Natural Science Edition)
基金
国家教委优秀青年教师基金
关键词
B样条
神经网络
模糊系统
全局逼近
B splines
neural networks
fuzzy systems / universal approximation