Design of Fuzzy Ensemble Architecture Realized With the Aid of FCM-Based Fuzzy Partition and NN With Weighted LSE Estimation

Neural networks (NNs) with least square error (LSE) estimation form a certain type of single hidden layer feed-forward NNs. In this class of networks, the input connections (weights) and the biases of hidden neurons are generated randomly and fixed after being generated. The output connections are e...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on fuzzy systems 2021-03, Vol.29 (3), p.569-583
Hauptverfasser:	Roh, Seok-Beom, Oh, Sung-Kwun, Pedrycz, Witold, Fu, Zunwei
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Back propagation Back propagation networks Boundaries Classification Classifiers Clustering Clustering algorithms Datasets ensemble classifier Error analysis Estimation Fuzzy clustering Fuzzy logic Fuzzy sets Granulation Machine learning Neural networks neural networks (NNs) with least square error (LSE) estimation Neurons Quality assurance regularization factor Subspaces weighted least square error estimation (WLSE)
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!