摘要
复杂系统的多传感器数据融合是一门新兴的技术,它通过对来自多个传感器的数据进行多级别、多方面、多层次的处理从而产生出单个传感器所不能获得的更有意义的信息。数据融合在军事领域和民用领域都有很大的发展和应用前景。该文提出了一种基于神经网络融合算法的多传感器数据融合技术,对所采用的数据融合技术用于烧结终点预测进行了详细介绍。通过仿真结果证明,该方法鲁棒性强,准确性高,泛化能力广,具有很强的实用性和推广价值。
The complex system multi-sensor data fusion was an emerging technology,which based on the data from multiple sensors multiple levels,many Levels of processing in order to produce a single sensor cannot get obtain meaningful information. Data fusion in military and civil areas have great developmental and applicative prospect. Proposed a multi-sensor data fusion technology,which was based on neural network algorithm,data fusion technology for the BTP projections described in detail. The application result shows that the prediction with this method can achieve higher robust,better utility and expensive value.
出处
《自动化与仪表》
北大核心
2013年第7期8-10,30,共4页
Automation & Instrumentation
关键词
多传感器数据融合
神经网络算法
样本数据
烧结终点
multi-sensor data fusion
neural network algorithm
sample data
burning through point （BTP）
