Abstract: This paper studies the multistability of a class of discrete-time recurrent neural networks with unsaturating piecewise linear activation functions. It addresses the nondivergence, global ...
Abstract: In the real-world the majority of the signals are observed as piecewise smooth functions but their representations in a raw data format consume a huge amount of storage and processing power.
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