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Evaluation on Development Capacity of Overseas Chinese Enterprises Based on Improved BP Neural-Networks

机译:基于改进BP神经网络的海外企业发展能力评价

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摘要

An approach based on improved BP neural-networks is proposed for the evaluation on the development capacity of overseas Chinese enterprise. In order to cope with the slow learning speed and local minimal problems of BP neural-networks, an adaptive learning rate selection method based errors is presented. According to the features of overseas Chinese enterprise, the parameters of input level and number of neurons of hidden level of the BP neural-networks are investigated. Finally, the objective and quantified evaluation result can be achieved from the output neuron.
机译:提出了一种基于改进的BP神经网络的方法,用于评估海外华侨企业的发展能力。 为了应对BP神经网络的慢的学习速度和局部最小问题,提出了一种基于自适应学习率选择方法的错误。 根据海外中国企业的特点,研究了输入水平的输入水平和神经元神经元数的参数。 最后,可以从输出神经元实现目标和量化的评估结果。

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