基于神经网络的异位妊娠发病率发展趋势研究

A Study of tile Recent Trend of the incidence of Ectopic Pregnancy Based on Neural Networks

本文阐述了ＢＰ神经网络的基本算法，并根据近十年来搜集整理的异位妊娠发病率的统计资料；采用 ＢＰ神经网络对异位妊娠的发病率的发展趋势进行预测；预测结果和实际结果比较吻合．进一步指出了神经网络可作为一种新的预测方法．

Based on the fundamental algorithm of BP neural networks, the recent trend of the incidence of ectopic pregnancy is estimated by using their statistic data in the last ten years. The results are very close to the true data. Further pointing, BP neural networks can be used as a new forecasting method.