Cargando…
An Extreme Learning Machine Based on Artificial Immune System
Extreme learning machine algorithm proposed in recent years has been widely used in many fields due to its fast training speed and good generalization performance. Unlike the traditional neural network, the ELM algorithm greatly improves the training speed by randomly generating the relevant paramet...
Autores principales: | Tian, Hui-yuan, Li, Shi-jian, Wu, Tian-qi, Yao, Min |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6036855/ https://www.ncbi.nlm.nih.gov/pubmed/30046299 http://dx.doi.org/10.1155/2018/3635845 |
Ejemplares similares
-
Using machine learning to predict extreme events in complex systems
por: Qi, Di, et al.
Publicado: (2020) -
Machine learning paradigms: artificial immune systems and their applications in software personalization
por: Sotiropoulos, Dionysios, et al.
Publicado: (2016) -
Selective Ensemble Based on Extreme Learning Machine for Sensor-Based Human Activity Recognition
por: Tian, Yiming, et al.
Publicado: (2019) -
Online Machine Vision-Based Modeling during Cantaloupe Microwave Drying Utilizing Extreme Learning Machine and Artificial Neural Network
por: Zhu, Guanyu, et al.
Publicado: (2023) -
Test Generation Algorithm for Fault Detection of Analog Circuits Based on Extreme Learning Machine
por: Zhou, Jingyu, et al.
Publicado: (2014)