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Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its

T Chen1, H Chen

  • 1Dept. of Math., Fudan Univ., Shanghai.

Summary

This study explores neural network capabilities, finding Tauber-Wiener functions are effective activation functions. This research demonstrates neural networks can approximate complex functions and dynamical systems.

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