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Emboli classification using RBF neural networks

2004
The presence of emboli in the medium cerebral artery may cause severe brain damage or, in the worst case, death. Emboli classification is not a deterministic task for the lack of universally accepted classification rules. In this work the use of Radial Basis Functions Neural Networks (RBFNN) is proposed to distinguish among solid emboli, liquid emboli,
Teixeira, C. A.   +2 more
openaire   +1 more source

Accelerated gradient algorithm for RBF neural network

Neurocomputing, 2021
Hong-gui Han, Miaoli Ma, J. Qiao
semanticscholar   +1 more source

RBF Neural Networks and Radial Fuzzy Systems

2015
RBF neural networks are an efficient tool for acquisition and representation of functional relations reflected in empirical data. The interpretation of acquired knowledge is, however, generally difficult because the knowledge is encoded into values of the parameters of the network.
openaire   +2 more sources

Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping

, 2020
B. Pham   +7 more
semanticscholar   +1 more source

A novel competitive swarm optimized RBF neural network model for short-term solar power generation forecasting

Neurocomputing, 2020
Zhile Yang   +4 more
semanticscholar   +1 more source

Adaptive RBF neural network-based control of an underactuated control moment gyroscope

Neural computing & applications (Print), 2020
Jorge Montoya-Cháirez   +4 more
semanticscholar   +1 more source

An Adaptive-PSO-Based Self-Organizing RBF Neural Network

IEEE Transactions on Neural Networks and Learning Systems, 2018
Hong-gui Han, W. Lu, Ying Hou, J. Qiao
semanticscholar   +1 more source

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