Gaussian bare‐bones gradient‐based optimization: Towards mitigating the performance concerns

Gradient‐based optimizer (GBO) is a metaphor‐free mathematic‐based algorithm proposed in recent years. Encouraged by the gradient‐based Newton's method, this algorithm combines with population‐based evolutionary methods. The disadvantage of the traditional GBO algorithm is that the global searc...

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Vydáno v:	International journal of intelligent systems Ročník 37; číslo 6; s. 3193 - 3254
Hlavní autoři:	Qiao, Zenglin, Shan, Weifeng, Jiang, Nan, Heidari, Ali Asghar, Chen, Huiling, Teng, Yuntian, Turabieh, Hamza, Mafarja, Majdi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York John Wiley & Sons, Inc 01.06.2022
Témata:	Algorithms Artificial neural networks Back propagation networks Bones global optimization gradient‐based optimizer Intelligent systems kernel extreme learning machine Machine learning medical diagnosis Neural networks Newton methods Optimization parameter optimization Problem solving
ISSN:	0884-8173, 1098-111X
On-line přístup:	Získat plný text
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