摘要
在对现有威胁估计算法分析的基础上,结合神经网络技术,提出了基于BP神经网络模型的威胁估计算法,利用神经网络良好的自适应能力和自学习能力,通过样本数据训练,提高威胁估计算法的准确性和适应性。
Based on analyzing current models of threat assessment, combined with the neural network techniques, this paper presents a threat assessment algorithm based on BP algorithm. By utilizing the good abilities of adapting and self-learning of neural networks, the accuracy and adaptability of the threat assessment algorithm are improved.
出处
《空军工程大学学报(自然科学版)》
CSCD
2002年第6期25-28,共4页
Journal of Air Force Engineering University(Natural Science Edition)