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NEW METHOD FOR THE DEVELOPMENT OF REGRESSION MT-QSAR AND MTK-QSAR MODELS BY APPLYING MODULAR NEURAL NETWORK
NEW METHOD FOR THE DEVELOPMENT OF REGRESSION MT-QSAR AND MTK-QSAR MODELS BY APPLYING MODULAR NEURAL NETWORK
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机译：应用模块化神经网络开发回归MT-QSAR和MTK-QSAR模型的新方法
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摘要
New method for the development of regression mt-QSAR and mtk-QSAR models, by applying modular neural network, by which the analysis of the relationship of the structure and activity of the compounds simultaneously for multiple biological species and for the different standards of measurements of biological effects is carried out. Modular neural network consists of two layers of modules, whereby the input layer is made of independently trained classification neural networks, where each input module is separate mt-QSAR/mtk-QSAR model, and the output layer is made of one module (by type a regression neural network), which performs regression analysis, based on binary classification of the input modules.
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