Adaptive activation functions for predictive modeling with sparse experimental data
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DOI: 10.1007/s00521-024-10156-8
Abstract: A pivotal aspect in the design of neural networks lies in selecting activation functions, crucial for introducing nonlinear structures that capture intricate input–output patterns. While the effectiveness of adaptive or trainable activation functions has been… read more here.
Keywords: functions predictive; modeling sparse; predictive modeling; activation functions ... See more keywords