多层神经网络 meaning in English
multilayer neural network
Examples
- Robust adaptive control based on multi - layer neural networks
基于多层神经网络的鲁棒自适应控制 - Computing vibrational modal parameters by neural network
基于前馈多层神经网络的振动模态参数计算 - Adaptive media playout based on multiplayer neural network control
基于多层神经网络控制的动态自适应播放 - Artificial neural networks have mighty learning ability . after being properly trained , the multiplayer networks are capable of approximating any nonlinear functions with any precision . therefore it has become a powerful tool in nonlinear system identification field
人工神经网络具有很强的学习能力，经过训练的多层神经网络能以任意精度逼近非线性函数，因此为非线性系统辨识提供了一个强有力的工具。 - In the paper , based on the existing literature research foundation an analog circuit catastrophic fault location approach by using feedforward networks with back ? propagation learning is realized . by this approach , the simulation require ments before test are reduced because fewer training samples are needed , and the fault location process is fast . this method is very efficient in location of single hard fault wit component tolerances . the measureme nt space feature and the general characterization concept of single and double soft fault in linear circuits are presented . according to this concept , a linear circuits soft fault location approach using subhidden layer bpnn is established with element tolerance , and it is shown that this approach is successful in fault location . a double fault feature extraction . ,
本文在现有文献理论研究的基础上实现了采用bp算法前向多层神经网络对直流测试下模拟电路硬故障的诊断方法。其特点是采用少量典型特征样本作为bp网络的训练样本,获得训练样本的代价小,减少了测前工作量,同时诊断速度快,在考虑元件容差时仍有好的诊断效果。文中介绍了线性电路单一软故障和双软故障所具有的电压增量空间特性和统一特征概念。