An Integer-Fractional Gradient Algorithm for Back Propagation Neural Networks

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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...

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Bibliographic Details
Main Authors:	Zhang, Yiqun, Xu, Honglei, Li, Yang, Lin, Gang, Zhang, Liyuan, Tao, Chaoyang, Wu, Yonghong
Format:	Journal Article
Published:	2024
Online Access:	http://purl.org/au-research/grants/arc/LP160100528 http://hdl.handle.net/20.500.11937/96289

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