摘要
讨论了采用用神经网络理论来建立参数－费用模型的方法，给出了几种地空导弹武器系统的特征参数与研制费用，对神经网络法与线性回归法所得的结果进行了比较。比较结果表明，神经网络法比线性回归法精确。
This paper discusses the methods to establish a paremeter-cost model by usingneural network theory , gives caracteristic paremeters and development costs of several types of air-defense missile weapon systems, and compares the results obtained from neural network with that from linear regression .The comparing results show that neural network method is moreaccurate than linear regression method .
出处
《上海航天》
1996年第5期38-40,共3页
Aerospace Shanghai
关键词
神经网络
参数-费用模型
地空导弹
Cost
Neural Network
B-P algorithm
Paremeter-cost model
