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- W2352707761 abstract "Abstrcat Depression has became a kind of common psychological diseases with quicker life rhythm and stronger competition. Since the nosogenesis is still unclear, there is still no effective diagnostic routine for it. Based on the BP neural network with dynamic architecture, a depression diagnosis system is developed by using VC++ techniques under the Windows environment. It is flexible and open for the parameters such as the numbers of the hidden layers and nodes in each layer, and the training convergent error can configure by users easily. Adopting batch BP training algorithm, the learning efficiency and approach ability have been improved. In addition, test results using practical TCM syndromes data show that this system has a strong ability for classified, and potential for the diagnosis and cure of depression." @default.
- W2352707761 created "2016-06-24" @default.
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- W2352707761 date "2005-01-01" @default.
- W2352707761 modified "2023-09-27" @default.
- W2352707761 title "Dynamic BP neural networks based depression diagnosis system" @default.
- W2352707761 hasPublicationYear "2005" @default.
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