Research on Neural Networks of Data Fusion Technology for Target Classification

摘要

This paper addresses the application of artificial neural networks (ANN) technology to data fusion for target classification. The ANN data fusion architecture to classify target had been established. Based on multi-layer feedforward neural networks, improved BP algorithms were presented for training ANN model and classifying target. The improved BP algorithms had been used for vehicle target classification outdoor. Compared with the experiment results, it can be confirmed that ANN data fusion is effective to solve the problem of target classification.