A novel modular RBF neural network based on a brain-like partition method

In this study, a modular design methodology inherited from cognitive neuroscience and neurophysiology is proposed to develop artificial neural networks, aiming to realize the powerful capability of brain—divide and conquer—when tackling complex problems. First, a density-based brain-like partition m...

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Veröffentlicht in:	Neural computing & applications Jg. 32; H. 3; S. 899 - 911
Hauptverfasser:	Qiao, Jun-Fei, Meng, Xi, Li, Wen-Jing, Wilamowski, Bogdan M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.02.2020 Springer Nature B.V
Schlagworte:	Architecture Artificial Intelligence Artificial neural networks Brain Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Image Processing and Computer Vision Learning theory Modular construction Modular design Modular structures Neural networks Neurophysiology Original Article Partitions Probability and Statistics in Computer Science Radial basis function Radial basis function (RBF) network Brain-like partition Second-order algorithm Modular neural network
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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