An Integer-Fractional Gradient Algorithm for Back Propagation Neural Networks
This paper proposes a new optimization algorithm for backpropagation (BP) neural networks by fusing integer-order differentiation and fractional-order differentiation, while fractional-order differentiation has significant advantages in describing complex phenomena with long-term memory effects and...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Published: |
2024
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| Online Access: | http://purl.org/au-research/grants/arc/LP160100528 http://hdl.handle.net/20.500.11937/96289 |