摘要
在分析人工神经网络基本原理的基础上,结合我国公立医院的现状,构建基于前馈神经网络模型的公立医院监管指标体系,并通过神经网络模型来优化该指标体系,为制定公立医院监管指标权重探索了新方法。
On the basis of analyzing the principle of Artificial Neural Network, combined with the current situation of public hospitals in China, the Back Propagation Neural Network（BP-NN） based supervisory index system of public hospitals was built and optimized by the BP-NN model thus a new way to determine quantitatively the weights of supervisory indicators of public hospitals was explored.
出处
《中国医院》
2012年第9期23-25,共3页
Chinese Hospitals
基金
国家自然科学基金重点项目<基于激励规制与多元治理的我国公立医院监管模式及其实现机制研究(71073061)>
关键词
人工神经网络
公立医院
监管指标
Artificial Neural network, public hospital, supervisory index
