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METHOD AND APPARATUS FOR SIGNAL CLASSIFICATION USING A MULTILAYER NETWORK
METHOD AND APPARATUS FOR SIGNAL CLASSIFICATION USING A MULTILAYER NETWORK
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机译:多层网络的信号分类方法和装置
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摘要
A method and apparatus for signal classification using a multilayer temporal relaxation network involves receiving an input signal feature vector, classifying a first signal feature, and classifying a second signal feature using contextual information. The multilayer temporal relaxation network applies a relaxation process that updates an activation value of a node in a first layer and updates an activation value of a node in a second layer. The multilayer network then generates a signal classification according to an activation value of a node in the multilayer network.
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