本文将磁流变(MR)阻尼器与普通橡胶隔震支座相结合，组成智能基础隔震系统应用到结构控制中。
In this paper, smart base isolation system consisting of rubber bearing and MR damper is applied to structural vibration control.
依据BP神经网络系统能够利用人工智能的方法，准确分析多变量非线性系统的特性，采用多层向前BP神经网络系统建立起了橡胶老化预报模型。
Based on characteristics of BP neural network which can precisely analyze multi-variable nonlinear systems using artificial intelligence, in this paper, we proposed model for predicting rubber aging.
同时针对目前触觉传感器阵列研究领域的动向，提出并设计了一种新型的基于导电橡胶的智能机器人触觉传感服装。
In terms of the research direction of tactile sensor array, a new tactile sensing costume model is proposed according to the piezoresistive property of conductive rubber.
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