International Journal of Man-Machine Studies
Comparison of neofuzzy and rough neural networks
Information Sciences: an International Journal
Analysis of Acoustic Signatures from Moving Vehicles UsingTime-Varying Autoregressive Models
Multidimensional Systems and Signal Processing
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
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In this paper, a novel recognition system based on rough neural network is presented for the application of vehicle classification in wireless sensor network. The proposed system is evaluated using real-world signal datasets as well as two conventional methods. Compared with them, approach based on rough neural network achieves high performance improvement. Furthermore, the purposed system is extended for multi-channel sensor data fusion directly. Since the experiment results are attractive, an algorithm based on rough neural network is believed to have potential for applications of recognition and data fusion in wireless sensor networks.