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 relation-ships exist among factors.This article introduces the defects of current methods for comprehen-sively 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 evalua-tion.
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