摘要
ＢＰ神经元网络具有很强的自适应、自学习和映射能力．本文对ＢＰ神经元拄制系统进行了仿真．整个仿真过程是在ＢｏｒｌａｎｄＣ＋＋２．０环境下实现的，控制算法程序具有较高的效率、扩充性和维护性．
BP neural networks have stronger capabilities of adaptive, Self-learnning and mapping. The BP neural control system is simulated in this paper. The entire process is under Borland c++2.0 environment. The control algorithms program has more efficiency and guality of expanding and maintenance.
出处
《武汉纺织大学学报》
1994年第1期46-49,共4页
Journal of Wuhan Textile University
关键词
BP神经元
S型函数
连接权
映射
自学习
back-propagation neuron
sigmoid function
connection weight
map
self-learning
