IS-LM-BP model can illustrate such complicated circulation mechanism and its result.
借助IS - LM - BP模型可以将这种复杂的循环作用过程以及作用结果通过图形进行演绎。
LM learning algorithm is adopted in BP network learning.
BP网络的学习采用了LM学习算法。
The way double polarity s function and LM algorithm combine with BP neural network is analyzed in the paper. The steps of new algorithm were given.
分析了双极性S型函数及LM算法与BP神经网络具体结合实现的方法，并给出了算法步骤。
Concerned with the training process and accuracy, the LM algorithm is superior to conjugate gradient algorithm and a variable learning rate back propagation (BP) algorithm.
就训练次数与精确度而言，它明显优于共轭梯度法及变学习率的BP算法，适用于系统辨识。
Concerned with the training process and accuracy, the LM algorithm is superior to conjugate gradient algorithm and a variable learning rate back propagation (BP) algorithm.
就训练次数与精确度而言，它明显优于共轭梯度法及变学习率的BP算法，适用于系统辨识。
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