A handprinted Chinese character recognition method based on artificial neural network is presented in this paper.
本文提出了一种基于人工神经网络解决手写印刷体汉字识别的方法.
the composite ga-rbf network was applied in this artificial olfactory system for pattern recognition.
依据肉气味模式,采用遗传优化的组合RBF神经网络作为模式识别方法.
a new method for multi-band spectrum recognition of landmark images is suggested using improved bp network.
提出了一种基于改进后的BP人工神经网络的地物影像的多波段光谱识别新方法.
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