This paper presents a compound neural network model, i. e., adaptive fuzzy neural network (AFNN), which can be used for identifying the complicated nonlinear system.
该文提出一种用于复杂的非线性未知系统辨识的混合神经网络模型—自适应模糊神经网络(AFNN)。
Secondly, the identifying model of freeway hazardous location in mountainous areas was established based on BP neural network.
其次，建立了基于BP神经网络的山区高速公路事故多发点鉴别模型。
After updating the model, this paper carried out the experiment of identifying the position and section stiffness of steel support based on the neural network multi-step identification method.
模型修正后，本文基于神经网络的多重分步识别方法，对斜支撑进行位置及截面刚度的识别。
The identifying model of time variation was built, on the basis of radial basis function neural network to solve the problem of diagnosis depth.
利用时变基频的求解方法，建立基于径向基函数网络的时变基频识别模型，解决“深度”复杂性问题；
This paper presents a model for identifying induction motor speed using the recurrent neural network, which is trained by a real time recurrent learning algorithm.
本文利用递归神经网络来建立异步电机转速辩识模型，其网络学习采用实时递归学习算法。
This paper presents a model for identifying induction motor speed using the recurrent neural network, which is trained by a real time recurrent learning algorithm.
本文利用递归神经网络来建立异步电机转速辩识模型，其网络学习采用实时递归学习算法。
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