AN ADAPTIVE BACKPROPAGATION ALGORITHM BASED ON ERROR RATE OF CHANGE

Xie Keming; Zhang Jianwei

Volume 20 Issue 4

Jul. 1998

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Article Navigation > Journal of Electronics & Information Technology > 1998 > 20(4): 570-572

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Citation:

Xie Keming, Zhang Jianwei. AN ADAPTIVE BACKPROPAGATION ALGORITHM BASED ON ERROR RATE OF CHANGE[J]. Journal of Electronics & Information Technology, 1998, 20(4): 570-572.

Citation:

Xie Keming, Zhang Jianwei. AN ADAPTIVE BACKPROPAGATION ALGORITHM BASED ON ERROR RATE OF CHANGE[J]. Journal of Electronics & Information Technology, 1998, 20(4): 570-572.

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AN ADAPTIVE BACKPROPAGATION ALGORITHM BASED ON ERROR RATE OF CHANGE

Received Date: 1997-01-30
Rev Recd Date: 1997-10-13
Publish Date: 1998-07-19

Abstract

Abstract

In order to overcome slow convergence rate of the standard BP algorithm, this paper presents an adaptive backpropagation algorithm which can update learning rate and birr factor automatically based on dynamic training error rate of change. Simulation result of the XOR problem shows much faster convergence rate can be obtained by this algorithm.

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References(1)

References

管霖,程时杰,陈德树.适用于控制型神经网络的快速学习算法.华中理工大学学报,1995, 23(4): 29-33.[2]张建伟.模糊神经网络TS模糊模型辨识及其在预测控制中的应用:[硕士学位论文].太原:太原工业大学自动化系,1997,4.[3]孙德保,高超.一种实用的克服局部极小的BP算法.信息与控制,1995, 24(5): 284-287.

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