摘要
主要进行了基于小波神经网络的装备研制费预测技术的研究。建立了装备研制费小波神经网络预测模型,并推导了这一模型的预测算法。通过对某型装备研制费预测结果分析,小波神经网络预测模型的预测算法比较理想,具有较大的理论价值和实际军事应用前景。
It researched on the approach of cost forecast in the development of military equipments based on wavelet neural network. The forecasting model of R&D cost by wavelet neural network is established and its algorithm is given. The model and algorithm are correctly verified by analysis of forecasting R&D cost for XXX military equipment. It shows not only the model of wavelet neural network is satisfactory in real system but also the theory and methods are feasible and emerge a theoretical value and military application prospects.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2004年第z3期638-640,共3页
Chinese Journal of Scientific Instrument
