Cargando…
EEG signals classification using a new radial basis function neural network and jellyfish meta-heuristic algorithm
The purpose of this paper is to investigate a new method for EEG signals classification. A powerful method for detecting these signals can greatly contribute to areas such as making robotic arms for disabled people, mind reading and lie detection tools. To this end, this study makes two interesting...
Autores principales: | Rastegar, Homayoun, Giveki, Davar, Choubin, Morteza |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789523/ https://www.ncbi.nlm.nih.gov/pubmed/36590928 http://dx.doi.org/10.1007/s12065-022-00802-2 |
Ejemplares similares
-
Brain Tumor Classification Using Meta-Heuristic Optimized Convolutional Neural Networks
por: Kurdi, Sarah Zuhair, et al.
Publicado: (2023) -
Neural Basis of Scientific Innovation Induced by Heuristic Prototype
por: Luo, Junlong, et al.
Publicado: (2013) -
Lung Cancer Classification Employing Proposed Real Coded Genetic Algorithm Based Radial Basis Function Neural Network Classifier
por: Selvakumari Jeya, I. Jasmine, et al.
Publicado: (2016) -
Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images
por: A, Ahila, et al.
Publicado: (2022) -
An improved method using radial basis function neural networks to speed up optimization algorithms
por: Bazan, M, et al.
Publicado: (2002)