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A continuum among logarithmic, linear, and exponential functions, and its potential to improve generalization in neural networks., and . CoRR, (2016)Neural Decomposition of Time-Series Data for Effective Generalization., and . CoRR, (2017)Uninorm-like parametric activation functions for human-understandable neural models., , , , , and . CoRR, (2022)Uninorm-like parametric activation functions for human-understandable neural models., , , , , and . Knowl. Based Syst., (2023)Modeling time series data with deep Fourier neural networks, and . Neurocomputing, (2015)A Continuum among Logarithmic, Linear, and Exponential Functions, and Its Potential to Improve Generalization in Neural Networks., and . KDIR, page 481-486. SciTePress, (2015)Parametric activation functions modelling fuzzy connectives for better explainability of neural models., , , and . SISY, page 77-82. IEEE, (2022)Training Deep Fourier Neural Networks to Fit Time-Series Data., and . ICIC (3), volume 8590 of Lecture Notes in Computer Science, page 48-55. Springer, (2014)Neural decomposition of time-series data., and . SMC, page 2796-2801. IEEE, (2017)A parameterized activation function for learning fuzzy logic operations in deep neural networks., and . SMC, page 740-745. IEEE, (2017)