local wave neural network 局域波神经网络
local recurrent neural network 局部回归神经网络
local connection neural network 局部连接神经网络
local interconnected neural network 局域互联神经网络
local interconnection neural network 局域互联神经网络
multilayer local recurrent neural network 多层局部回归神经网络
local recurrent elman neural network 局部回归elman网络
Traditional neural network algorithms are easy to fall into the local minimum, slow convergence when in fault diagnosis.
传统的神经网络算法应用于故障诊断时，具有易陷入局部极小值，收敛速度较慢等缺点。
Experimental study showed that as a local and whole conjunction neural network RBF network can be trained very quickly, and can overcome shortcomings of local minimum pole in BP networks.
通过实验研究，体现了RBF神经网络作为一种局部全连接网络，训练速度快，克服了BP网络的局部极小点问题。
The results show the optimized BP neural network can effectively avoid converging on local optimum and reduce training time greatly.
实验结果证明，优化后的BP网络可有效地避免收敛于局部最优值，大大地缩短了训练时间。
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