介绍一种适用于实时语音识别环境下的神经网络模型———动态识别神经网络(dynam ic recogn ition neu-ral network,DRNN).DRNN聚类学习的性 .
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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。
The method of gas recognition that can combine gas sensor array dynamic detection with artificial neural network is presented.
在动态系统中，利用神经网络进行故障诊断与识别具有很大的潜力。
A high potential application area for neural networks in the dynamic systems is the area of failure detection and identification.
本文探讨了只用单个隐含层的前向神经网络对未知非线性动态系统的识别。
This paper investigates the identification of unknown nonlinear dynamical system using multilayered feedforward neural network with a single hidden layer.
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