摘要
体质受到多种因素的影响,且各因素之间存在复杂的非线性关系。本文介绍了现有体质综合评价方法的不足和国内外人工神经网络(artificial neural networks,ANN)模型在医学研究中的成功应用,发现ANN模型对数据要求低,且具有强大的非线性处理能力。表明利用ANN模型进行老年人体质综合评价,可克服传统方法的诸多限制和不足,具有良好的前景。
Physical fitness is influenced by multiple factors,and intricate non-linear relationships exist among factors.This article introduces the defects of current methods for comprehensively evaluating fitness and the successful application of the artificial neural network(ANN)model at home and abroad.The findings show that ANN model has low requirement for data and strong capability to analyze non-linear relationships,suggesting that ANN model overcomes the limitations and defects of traditional methods and has good prospects for elderly fitness evaluation.
出处
《南昌大学学报（医学版）》
CAS
2017年第1期88-92,共5页
Journal of Nanchang University：Medical Sciences
基金
国家自然科学基金(81560550)
江西省教育厅重点项目(GJJ150063)
关键词
人工神经网络模型
老年人体质
综合评价
artificial neural network model
elderly fitness
comprehensive evaluation
