Radial Basis Function Neural Networks for Datasets with Missing Values

2017 ◽  
pp. 108-115
Author(s):  
Diego P. Paiva Mesquita ◽  
João Paulo P. Gomes
Keyword(s):  
Neural Networks ◽  
Radial Basis Function ◽  
Basis Function ◽  
Missing Values ◽  
Radial Basis

scholarly journals Building a novel classifier based on teaching learning based optimization and radial basis function neural networks for non-imputed database with irrelevant features

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ch. Sanjeev Kumar Dash ◽  
Ajit Kumar Behera ◽  
Satchidananda Dehuri ◽  
Sung-Bae Cho
Keyword(s):  
Neural Networks ◽  
Radial Basis Function ◽  
Basis Function ◽  
Missing Values ◽  
Least Square ◽  
Bench Mark ◽  
Least Square Estimator ◽  
Radial Basis ◽  
Teaching Learning Based Optimization ◽  
Teaching Learning

This work presents a novel approach by considering teaching learning based optimization (TLBO) and radial basis function neural networks (RBFNs) for building a classifier for the databases with missing values and irrelevant features. The least square estimator and relief algorithm have been used for imputing the database and evaluating the relevance of features, respectively. The preprocessed dataset is used for developing a classifier based on TLBO trained RBFNs for generating a concise and meaningful description for each class that can be used to classify subsequent instances with no known class label. The method is evaluated extensively through a few bench-mark datasets obtained from UCI repository. The experimental results confirm that our approach can be a promising tool towards constructing a classifier from the databases with missing values and irrelevant attributes.

Wind turbine power curve modeling using radial basis function neural networks and tabu search

2021 ◽  
Vol 163 ◽  
pp. 2137-2152
Author(s):  
Despina Karamichailidou ◽  
Vasiliki Kaloutsa ◽  
Alex Alexandridis
Keyword(s):  
Neural Networks ◽  
Tabu Search ◽  
Radial Basis Function ◽  
Wind Turbine ◽  
Basis Function ◽  
Power Curve ◽  
Radial Basis ◽  
Curve Modeling

Modeling and prediction of viscosity of water-based nanofluids by radial basis function neural networks

2015 ◽  
Vol 281 ◽  
pp. 173-183 ◽  
Author(s):  
Ningbo Zhao ◽  
Xueyou Wen ◽  
Jialong Yang ◽  
Shuying Li ◽  
Zhitao Wang
Keyword(s):  
Neural Networks ◽  
Radial Basis Function ◽  
Basis Function ◽  
Modeling And Prediction ◽  
Water Based ◽  
Radial Basis
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