前向多层神经网络的英文

• mlfn multilayer feedfoward neural network

• "前"英文翻译    front
• "向"英文翻译    direction
• "多层"英文翻译    multichamber; multilayer; mu ...
• "神经"英文翻译    nerve; nervus
• "网络"英文翻译    network; electric network me ...
• "多层神经网络" 英文翻译 :    multilayer neural network
• "多层前馈人工神经网络" 英文翻译 :    mlffann
• "mp神经网络" 英文翻译 :    mp neural network
• "光神经网络" 英文翻译 :    optical neural network
• "类神经网络" 英文翻译 :    articificial neural network; artificial neural network (ann)
• "神经网络" 英文翻译 :    biological neural network; nerve network; neural network, nn; neural networks; neuron network; neuronic network; neutral networks; nn neural network; radial basis function
• "神经网络的" 英文翻译 :    neural net
• "倒转神经网络" 英文翻译 :    back-propagation neutral network
• "递归神经网络" 英文翻译 :    rnn recurrent neural network
• "电子神经网络" 英文翻译 :    electronic neuron network
• "蜂窝神经网络" 英文翻译 :    cnn cellular neural network
• "概率神经网络" 英文翻译 :    pnn probabilistic neural network
• "高阶神经网络" 英文翻译 :    higher order neural network
• "混合神经网络" 英文翻译 :    hnn hybrid neural network
• "混沌神经网络" 英文翻译 :    chaotic neural network
• "联想神经网络" 英文翻译 :    aann
• "模糊神经网络" 英文翻译 :    fnn fuzzy neural network; fuzzy neural networks; fuzzy-neural network; rfnn
• "人工神经网络" 英文翻译 :    ann artificial neural network; artificial neural nets (ann); artificial neural network
• "神经网络技术" 英文翻译 :    nerual network technique
• "神经网络模拟" 英文翻译 :    simulation of neural network

• 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。