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DEEP MODEL REFERENCE ADAPTIVE CONTROLLER

机译:深模型参考自适应控制器

摘要

Aspects of the subject disclosure may include, for example, determining, at a slower time-scale, inner layer weights of an inner layer of a deep neural network; providing periodically to an outer layer of the deep neural network from the inner layer, a feature vector based upon the inner layer weights; and determining, at a faster time-scale, outer layer weights of the outer layer, wherein the outer layer weights are determined in accordance with a Model Reference Adaptive Control (MRAC) update law that is based upon the feature vector from the inner layer, and wherein the outer layer weights are determined more frequently than the inner layer weights. Other embodiments are disclosed.
机译:主题公开的各方面可以包括例如在深神经网络的内层的较慢的时间尺度下确定,包括深神经网络的内层的内层重量; 周期性地向内层的深神经网络的外层,一个基于内层重量的特征向量; 以更快的时间刻度确定外层的外层重量,其中根据基于来自内层的特征向量的模型参考自适应控制(MRAC)更新定律来确定外层权重, 并且其中外层重量比内层重量更频繁地确定。 公开了其他实施例。

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