Physical object of bus protection is a function with certain relation between inputs and outputs, which can be replaced by an ANN model, i. e. can be approximated by an ANN mathematical model.
母线保护的物理对象是一个输入输出关系确定的函数对象，可用一个ANN模型去替代，或用一个ANN数学模型去逼近母线保护物理对象的输入输出之间的函数关系。
This article indicates the principle for ANN bus protection based on function approximation ability, analyzes the functional relation of bus-bar object and builds the ANN model of bus-bar protection.
叙述了基于ANN函数逼近能力的母线保护原理，分析了母线保护物理对象的函数关系，构建了母线保护的人工神经网络模型。
The protected object of bus protection is a function with certain input and output, which can be represented by ANN model, or approximated by ANN mathematical model.
母线保护的物理对象是一个输入输出关系确定的函数对象，可用一个ANN模型去替代，或用一个ANN数学模型去逼近母线保护物理对象的输入输出之间的函数关系。
In addition, the model using the user task date bus and application domain date bus to reduce the coupling between the user interface and function core.
为了降低用户界面层，感知控制代理层以及功能核心层之间的耦合度，该模型还在它们之间分别加入了用户任务数据总线与应用领域数据总线。
This article firstly introduced the layers structure and each layer function of CAN-bus's network model and designed the automobile control system model based on CAN-bus.
本文首先介绍了CAN网络模型中各层的功能和层次结构，设计了基于CAN总线的汽车控制系统模型。
This article firstly introduced the layers structure and each layer function of CAN-bus's network model and designed the automobile control system model based on CAN-bus.
本文首先介绍了CAN网络模型中各层的功能和层次结构，设计了基于CAN总线的汽车控制系统模型。
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