BP neural network can recognize the image intelligently

Su Zong
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Abstract

Aiming at the disadvantages of slow convergence speed and unable to reduce recognition errors quickly, BP neural network is used for intelligent recognition of computer images. On this basis, the image recognition model is established by using BP neural network, and its modeling and modeling are carried out. Under the same experimental conditions, different recognition algorithms are compared. The results show that this algorithm has a better convergence speed, can effectively reduce errors, and can effectively improve the recognition rate of images.
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BP神经网络可以对图像进行智能识别
针对BP神经网络收敛速度慢、不能快速降低识别误差的缺点,将BP神经网络用于计算机图像的智能识别。在此基础上,利用BP神经网络建立图像识别模型,并对其进行建模和建模。在相同的实验条件下,比较了不同的识别算法。结果表明,该算法具有更好的收敛速度,能有效减少误差,能有效提高图像的识别率。
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