计算机工程与应用2018，Vol.54Issue(7)：226-231,6.DOI:10.3778/j.issn.1002-8331.1611-0045
自适应磷虾群优化Elman神经网络的目标威胁评估
Target threat assessment using Elman neural network optimized by adap-tive krill herd algorithm
摘要
Abstract
Adaptive krill herd algorithm is proposed on the basis of the basic krill herd algorithm,by establishing genetic breeding mechanism and adding an adaptive link which is made of genetic and optimization operators. This new algo-rithm not only improves the global optimization performance,but also obtains robust result with good quality.The method employing adaptive evolutionary krill herd algorithm to simultaneously optimize the initial weights and thresholds of the Elman neural network is presented.And on the basis of it,a target threat assessment model is established to seek global excellent result.Through simulation and analysis of experimental data, the feasibility and efficiency of the algorithm in the application of target threat assessment are verified.关键词
自适应磷虾群算法/遗传繁殖机制/Elman神经网络/目标威胁评估/威胁值Key words
adaptive krill herd algorithm/genetic breeding mechanism/Elman neural network/target threat assessment/threat value分类
信息技术与安全科学引用本文复制引用
李志鹏,李卫忠,杜瑞超..自适应磷虾群优化Elman神经网络的目标威胁评估[J].计算机工程与应用,2018,54(7):226-231,6.基金项目
国家自然科学基金(No.61503407). （No.61503407）
