反传网络 meaning in Chinese
back propagation network
back-propagation network
Examples
- Neural networks can be viewed as a universal approximator for nonlinear functions , but the multi - layer feed - forward neural network which be used usually is a static state network in nature , it is disagree with the real - time identification for dynamic system . moreover , recurrent neural networks can simulate the state memory mechanism of dynamic system , so it can be utilized as the model of dynamic time delay system
神经网络具有逼近任意连续非线性函数的能力，但常用的多层前馈式反传网络本质上是一种静态网络，不适合动态系统的实时辨识，而递归神经网络能够实现对动态系统状态记忆机制的模拟，因此更适合于作为动态时延系统的模型。