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Application of BP neural network to medical equipment demand forecast / 医疗卫生装备
Article in Zh | WPRIM | ID: wpr-583663
Responsible library: WPRO
ABSTRACT
An initial forecast model of BP neural networks is established, and is trained using the history data of our hospital inventory. This model is applied to forecasting the demand of medical equipment in Daping Hospital. The result indicates that the inventory cost is reduced enormously. The model is useful in the purchase and inventory management of medical equipment.
Key words
Full text: 1 Index: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Chinese Medical Equipment Journal Year: 1989 Type: Article
Full text: 1 Index: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Chinese Medical Equipment Journal Year: 1989 Type: Article