摘要
将人工神经网络引入水声对抗器材对抗效果评估中,运用模糊判别的思想,建立了衡量对抗效果的模糊神经网络评估模型。该模型利用仿真试验的结果,选取隶属函数的端点值和中间值作为部分样本训练网络,通过学习拟合出对抗效果与诸因素的映射关系,结合实例,应用这种方法作了初步评估。结果表明,这种方法简便、易行,评估结果可信。
Artificial Neural Network （ANN）and fuzzy assessment are introduced to build a fuzzy neural network evaluation model to evaluate the factors that affect the acoustic countermeasure effectiveness.The model uses simulation results to select end and mid values of the membership function as a part of sampies to train network. The relationship between the countermeasure effectiveness and each factor is learned through ANN. The result of an illustrative example shows that the method is convenient, valid and feasible.
出处
《舰船科学技术》
北大核心
2008年第5期171-174,共4页
Ship Science and Technology
关键词
模糊神经网络
对抗效果
评估
fuzzy artificial neural network
countermeasure effectiveness
evaluation
