采用基于Levenberg-Marquardt算法改进的BP神经网络构建中药现代化产业综合绩效评估模型,避免了传统BP神经网络训练时间长、收敛慢、易陷入局部极小值的问题.使用Matlab软件建立中药产业现代化发展能力综合绩效评估模型,并通过训练和仿真验证了该网络模型的有效性以及比BP神经网络的其他改进算法训练模型更具高效性.%The improved BP neural network based on Levenberg-Marquardt algorithm is used to build the comprehensive performance assessment model for modern industry of traditional Chinese medicine, which avoids the problems of long training time, slow convergence and easily trapping into local minimum the traditional BP neural network has. A comprehensive performance evaluation model for the development capacity in modern industry of traditional Chinese medicine is established with Matlab software. Through training and simulation the validity of the network model is verified together with its higher efficiency than the BP neural network algorithm and other training model of improved algorithms.
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机译：信息不对称下，“中药材全产业链服务商”模式对中药材价格的影响研究 =Pricing and Information Asymmetry in the Chinese Herbal Medicine Markets - A Study of the Mode of "Chinese Herbal Medicine Industry Chain Service Provider"
