基于多个BP神经网络融合的图像识别方法

Jianjun Ni, Xiaoping Ma, Lizhong Xu, Jianying Wang
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引用次数: 11

摘要

针对单一BP神经网络图像识别方法的局限性,结合D-S理论,提出了一种基于多个BP神经网络的图像识别方法。利用该方法对单个BP神经网络的各个图像识别结果进行综合,可以提高图像识别的性能。计算机仿真和实验结果表明,该方法是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An image recognition method based on multiple BP neural networks fusion
With respect to the limitation of the image recognition method by single BP neural network, a new method based on multiple BP neural networks with D-S theory is proposed. By using this method to synthesize each image recognition result of single BP neural network, we can improve the performance of the image recognition. The results of the computer simulation and experiment show that the new method is effective.
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