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Study on RMB number recognition based on genetic algorithm artificial neural network

机译:基于遗传算法人工神经网络的人民币号码识别研究

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BP artificial neural network based on genetic algorithm training method was proposed in this paper to solving Renminbi (RMB) number recognition and artificial neural network BP algorithm problems in order to satisfy the technical requirements of financial sector sorter. The BP artificial neural network based on genetic algorithm training method combined the global search ability of genetic algorithm and local search ability of BP algorithm. Genetic operators such as selection, crossover and mutation were studied and chosen according to the object. Experiments show that RMB number recognition based on genetic algorithm and BP artificial neural network improves recognition accuracy and speed, and provide a new means of RMB number recognition.
机译:为了满足金融部门分拣员的技术要求,提出了一种基于遗传算法训练方法的BP人工神经网络,以解决人民币数字识别和人工神经网络BP算法的难题。基于遗传算法训练方法的BP人工神经网络结合了遗传算法的全局搜索能力和BP算法的局部搜索能力。根据目的研究和选择了遗传算子,如选择,杂交和突变。实验表明,基于遗传算法和BP人工神经网络的人民币号码识别技术提高了识别的准确性和速度,为人民币号码识别提供了一种新的手段。

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