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Genetic Neural Network for Traditional Chinese Medicine

机译:中国中医基因神经网络

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The research into the impersonality and information of the Traditional Chinese-medicine Diagnosis (TCMD) is a key work to realize the Traditional Chinese-medicine (TCM) medicine examination system. So the paper studies the application of Artificial Neural Networks (NN) to TCM and uses the Genetic Algorithm (GA) to optimize the ANN, which is used to the diagnosis of TCM. The initial structure of the ANN is arbitrary and the GA is able to fmd a near optimal connection weight and structure of the ANN for the TCMD. In this paper, we emphatically describe t the GA to optimal the connection weight of the NN -Genetic NN, which has a relatively fixed three-layer and was used to the TCM eight principal syndromes by the tongue feature.
机译:研究中医诊断(TCMD)的实验性和信息的研究是实现中医(TCM)医学检查系统的关键工作。因此,本文研究人工神经网络(NN)对中医并使用遗传算法(GA)来优化ANN,用于诊断TCM。 ANN的初始结构是任意的,并且GA能够FMD为TCMD的ANN的近最佳连接重量和结构。在本文中,我们强调地描述了GA,以最佳的NN-genetic Nn的连接重量,其具有相对固定的三层,并用舌头特征用于TCM八个主综合征。

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