随着车载电子装置数量的不断增多，控制器局部网络开始应用于汽车。
With increasing of on-board electronic devices, the controller area network begins to be used in motor vehicles.
小脑模型清晰度控制器(CMAC)是一种局部学习前馈网络，结构简单，收敛速度快，易于实现。
CMAC (Cerebellar Model Articulation Controller) is a kind of local learning feed - forward neural network with simple architecture, quick learning convergence and effective implementation.
本文采用控制器局部网(CAN)和分散型计算机控制技术，成功地研制了CAN总线工业测控网络系统。
CAN bus industrial control network system is successfully developed by using Controller Area network (CAN) and distributed computer control technology.
基于人工神经网络提出了一种局部递归神经网络控制器。
A locally recurrent neural network controller based on neural network is proposed.
该网络控制器的隐含层由带有输出反馈和激活反馈的混合局部连接递归网络组成。
It is composed of a hybrid locally connected recurrent network with an activation feedback and an output feedback respectively in the hidden layer.
该网络控制器的隐含层由带有输出反馈和激活反馈的混合局部连接递归网络组成。
It is composed of a hybrid locally connected recurrent network with an activation feedback and an output feedback respectively in the hidden layer.
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