Cargando…
The Compact Support Neural Network
Neural networks are popular and useful in many fields, but they have the problem of giving high confidence responses for examples that are away from the training data. This makes the neural networks very confident in their prediction while making gross mistakes, thus limiting their reliability for s...
Autores principales: | Barbu, Adrian, Mou, Hongyu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709146/ https://www.ncbi.nlm.nih.gov/pubmed/34960583 http://dx.doi.org/10.3390/s21248494 |
Ejemplares similares
-
A Compact Convolutional Neural Network for Surface Defect Inspection
por: Huang, Yibin, et al.
Publicado: (2020) -
A Functional Spiking Neural Network of Ultra Compact Neurons
por: Stoliar, Pablo, et al.
Publicado: (2021) -
Principles for coding associative memories in a compact neural network
por: Pritz, Christian, et al.
Publicado: (2023) -
A Bayesian neural network predicts the dissolution of compact planetary systems
por: Cranmer, Miles, et al.
Publicado: (2021) -
Classification of Plant Leaves Using New Compact Convolutional Neural Network Models
por: Wagle, Shivali Amit, et al.
Publicado: (2021)