摘要
神经网络理论的出现是机器处理向人的思维模式迈进的又一突破。本文在传统的BP和RBF神经网络理论的基础上采用了新算法 ,即自定阶径向基函数对ZYB0 3- 6 0型滑片式真空压力复合气泵进行了识别。结果表明 。
The arising of neural network theory is a break-through from machine processing to man's thinking mode. On the basis of the traditional BP and RBF neural network, this article applies a new algorithm-user-defined step Radial basis function-to recognize ZYB03-60 vacuum air press pump. It turns out that the algorithm can train studying-speed faster and it is of good self-adaptation to data.
出处
《陕西工学院学报》
2001年第2期5-8,共4页
Journal of Shaanxi Institute of Technology
