摘要
将模糊自适应ＢＰ算法应用于包装件缓冲垫层非线性特性识别问题，提高了网络训练速度，从而使结构化神经网络方法更适于实际应用．
The fuzzy adaptive BP algorithm is applied to the identification of nonlinear characterisics in packaging cushionings in this paper. The simulatid result on the typical model of packaging cushioning material shows that theconvergence speed is increased. The structural neural network method is much more applicable to practice by coming it with the fuzzy adaptive algorithm.
出处
《包装工程》
CAS
CSCD
1996年第4期9-12,共4页
Packaging Engineering
基金
国家自然科学基金
关键词
模型识别
神经网络
缓冲包装
垫层
特性
Model Identification Artificial Neural Network Fuzzy System
