微型机与应用
微型機與應用
미형궤여응용
MICROCOMPUTER & ITS APPLICATIONS
2011年
22期
88-89,92
,共3页
何锋%赵江海%宋小波%刘忠杰%李芬%周培莹
何鋒%趙江海%宋小波%劉忠傑%李芬%週培瑩
하봉%조강해%송소파%류충걸%리분%주배형
健康检测%网格化管理%在线评估%蚁群算法%RBF神经网络
健康檢測%網格化管理%在線評估%蟻群算法%RBF神經網絡
건강검측%망격화관리%재선평고%의군산법%RBF신경망락
health detection%grid management%on-line assessment%ant colony algorithm%RBF neural network
针对社区网格化管理中老年人多类健康体征数据的在线评估要求，提出一种基于蚁群聚类的径向基神经网络评估模型。模型在RBF神经网络的架构上引入了蚁群聚类算法。仿真的性能结果和实验结论表明，该模型兼具蚁群算法良好的全局最优策略和径向基网络的快速收敛性能，能准确及时地评估老年人的健康状况。
針對社區網格化管理中老年人多類健康體徵數據的在線評估要求，提齣一種基于蟻群聚類的徑嚮基神經網絡評估模型。模型在RBF神經網絡的架構上引入瞭蟻群聚類算法。倣真的性能結果和實驗結論錶明，該模型兼具蟻群算法良好的全跼最優策略和徑嚮基網絡的快速收斂性能，能準確及時地評估老年人的健康狀況。
침대사구망격화관리중노년인다류건강체정수거적재선평고요구，제출일충기우의군취류적경향기신경망락평고모형。모형재RBF신경망락적가구상인입료의군취류산법。방진적성능결과화실험결론표명，해모형겸구의군산법량호적전국최우책략화경향기망락적쾌속수렴성능，능준학급시지평고노년인적건강상황。
Aiming at the online evaluation requirement of the elder＇s healthcare data in community grid management, a radio basis function neural network evaluation model is proposed based on ant colony cluster algorithm. By comparing with K-Mean cluster algorithm, the model combines the good global optimal strategy of ant colony algorithm and the rapid convergence of radial basis network. The model is able to provide accurate and timely evaluate the health status for the elderly. The simulation experiment show that this model has a higher classification capability, and it could be applied to evaluate the health condition of the elderly in community.
