An Overview of Temporal Backpropagation
نویسندگان
چکیده
This paper presents a derivation of a training algorithm for backpropagation neural networks which operate upon time-dependent input data, called “temporal backpropagation.” The derivation uses transformation rules to generate the algorithm directly from the standard backpropagation algorithm. Issues encountered when training time-delay neural networks are discussed, and a number of examples are shown.
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