Cargando…
Artificial neural network with Taguchi method for robust classification model to improve classification accuracy of breast cancer
Artificial neural networks (ANN) perform well in real-world classification problems. In this paper, a robust classification model using ANN was constructed to enhance the accuracy of breast cancer classification. The Taguchi method was used to determine the suitable number of neurons in a single hid...
Autores principales: | Rahman, Md Akizur, Muniyandi, Ravie chandren, Albashish, Dheeb, Rahman, Md Mokhlesur, Usman, Opeyemi Lateef |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924699/ https://www.ncbi.nlm.nih.gov/pubmed/33816995 http://dx.doi.org/10.7717/peerj-cs.344 |
Ejemplares similares
-
A Review of Machine Learning Methods of Feature Selection and Classification for Autism Spectrum Disorder
por: Rahman, Md. Mokhlesur, et al.
Publicado: (2020) -
Gaussian smoothing and modified histogram normalization methods to improve neural-biomarker interpretations for dyslexia classification mechanism
por: Usman, Opeyemi Lateef, et al.
Publicado: (2021) -
Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images
por: Albashish, Dheeb
Publicado: (2022) -
Taguchi methods and optimization for robust software
por: Jayaswal, Bijay K, et al.
Publicado: (2007) -
Framework for Parallel Preprocessing of Microarray Data Using Hadoop
por: Sahlabadi, Amirhossein, et al.
Publicado: (2018)