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

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

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...

Full description

Bibliographic Details
Main Authors: Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Satchidananda Dehuri, Sung-Bae Cho
Format: Article
Language:English
Published: Emerald Publishing 2022-03-01
Series:Applied Computing and Informatics
Subjects:
Pattern recognition
Imputation
Classification
Radial basis function neural networks
Teaching learning based optimization
k-Nearest neighbor
Online Access:https://www.emerald.com/insight/content/doi/10.1016/j.aci.2019.03.001/full/pdf

Internet

https://www.emerald.com/insight/content/doi/10.1016/j.aci.2019.03.001/full/pdf

Similar Items