Application of artificial neural networks for childhood obesity prediction

B. Novak, M. Bigec
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引用次数: 21

Abstract

The aim of this research is to develop an artificial neural network based system for childhood obesity prediction based on various types of medical and sociological data. If obesity could be predicted it could be prevented in most cases and degenerative and chronic diseases caused by it avoided. A new generation of radial basis function neural network is used to handle this difficult problem successfully.
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人工神经网络在儿童肥胖预测中的应用
本研究的目的是基于各种类型的医学和社会学数据,开发一个基于人工神经网络的儿童肥胖预测系统。如果肥胖可以预测,它在大多数情况下可以预防,并避免由它引起的退行性和慢性疾病。新一代径向基函数神经网络成功地解决了这一难题。
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