The superior fault tolerance of artificial neural network training with a fault/noise injection-based genetic algorithm

Artificial neural networks (ANNs) are powerful computational tools that are designed to replicate the human brain and adopted to solve a variety of problems in many different fields. Fault tolerance (FT), an important property of ANNs, ensures their reliability when significant portions of a network...

Descripción completa

Detalles Bibliográficos
Autores principales: Su, Feng, Yuan, Peijiang, Wang, Yangzhen, Zhang, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Higher Education Press 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5055486/
https://www.ncbi.nlm.nih.gov/pubmed/27502185
http://dx.doi.org/10.1007/s13238-016-0302-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5055486/
https://www.ncbi.nlm.nih.gov/pubmed/27502185
http://dx.doi.org/10.1007/s13238-016-0302-5

Ejemplares similares