Abstract: Solving linear time-varying equations is a classic problem in science and engineering. With the development of the neural network, some recurrent neural networks are presented, such as Zhang ...
How can a machine learning model be trained to classify flowers? The fundamental question behind this is how a machine learning model categorizes data like the flower pictures. Adaline (Adaptive ...
Abstract: This paper proposes a graph linear canonical transform (GLCT) by decomposing the linear canonical parameter matrix into fractional Fourier transform, scale transform, and chirp modulation ...
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