A modified particle swarm optimization procedure for triggering fuzzy flip-flop neural networks

DOI10.34768/AMCS-2021-0039OpenAlexW4226070509MaRDI QIDQ2115910

Tomasz Słoczyński, Piotr A. Kowalski

Publication date: 15 March 2022

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doaj.org/article/1e1e235371fa4c8daceb5a8c0423bda7

zbMATH Keywords

regressionfuzzy neural networkparticle swarm optimizationtraining procedurefuzzy flip-flop neuron

Mathematics Subject Classification ID

Mathematical programming (90Cxx) Artificial intelligence (68Txx)

Cites Work

• An outlier-robust neuro-fuzzy system for classification and regression
• A hybrid cascade neuro-fuzzy network with pools of extended neo-fuzzy neurons and its deep learning
• Computational Intelligence
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