基于BP神经网络的数据融合方法

数据融合技术是一种用途广泛的数字信号及信息处理方法,它通过对大量的数据进行处理提纯,得到一组直观有效的数据,为进一步处理和判断控制提供精确的数据依据。本文通过分析比较,验证了BP神经网络数据融合方法在发动机的多套冗余数据融合处理中的可行性和效果。实践表明:神经网络BP算法数据融合方法可有效提高数据的可信度。

The data fusion method of basing BP neural network

Data fusion technology is a wide range of application method in processing digital signals and information, which process and purity a great deal of data, get a set of efficient data, provide data gist for next processing and controlling. The article though analyse and compare, proves the possibility of appling the data fusion method of BP neural network to processing multisystem's data of solid rocket motor.Practice verified: the data fusion method of BP neural network can increase effectively the credibility of the data.