摘要
结合遗传算法与BP神经网络以航天二部为例,建立了其核心竞争力评价模型,该模型利用遗传算法提高了网络收敛的效率,克服了传统的神经网络训练时间长、易陷入局部极值的缺点,保持算法结果的全局最优。以一个算例从验证的角度说明该模型对于评价航天二部核心竞争力具有可行性以及较高的精度。
Taking the second research academy of China Aerospace Science and Industry Corp. as an example,an evaluation model of core competitive power was established by genetic algorithm and BP neural network.The model can improve the convergence efficiency of neural network,conquer the shortcomings of long training and local optimum,achieve whole optimum of algorithm results.A calculation sample was pulled in to illustrate the feasibility and precision of the model from the verified perspective.
出处
《兵工学报》
EI
CAS
CSCD
北大核心
2009年第S1期114-118,共5页
Acta Armamentarii
关键词
遗传算法
BP神经网络
核心竞争力
航天二部
genetic algorithm
BP neural network
core competitive power
second research academy of China Aerospace Science and Industry Corp.
