The method of gas recognition that can combine gas sensor array dynamic detection with artificial neural network is presented.
提出将气体传感器阵列动态检测与人工神经网络相结合的方法实现气体的识别。
In this paper, we try to combine the neural network with pattern recognition and find several new methods in fingerprint automatic identification as the practicable solution to the trouble.
本文试图将神经网络技术与模式识别技术相结合,提出若干行之有效的指纹自动识别新方法,为解决指纹自动识别技术中存在的种种困难找到切实可行的新途径。
The dissertation tries to combine signal processing and information fusion with the application background of mine recognition so as to improve the reliability and accuracy of echo recognition system.
论文偿试把现代信号处理技术与信息融合技术相结合,应用到具体的水雷目标识别领域,以提高水雷回波识别系统的准确性和可靠性。
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