Cargando…
Beetle Antennae Search: Using Biomimetic Foraging Behaviour of Beetles to Fool a Well-Trained Neuro-Intelligent System
Deep Convolutional Neural Networks (CNNs) represent the state-of-the-art artificially intelligent computing models for image classification. The advanced cognition and pattern recognition abilities possessed by humans are ascribed to the intricate and complex neurological connection in human brains....
Autores principales: | Khan, Ameer Hamza, Cao, Xinwei, Xu, Bin, Li, Shuai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326598/ https://www.ncbi.nlm.nih.gov/pubmed/35892354 http://dx.doi.org/10.3390/biomimetics7030084 |
Ejemplares similares
-
Intelligent Beetle Antennae Search for UAV Sensing and Avoidance of Obstacles
por: Wu, Qing, et al.
Publicado: (2019) -
Enhanced beetle antennae search algorithm for complex and unbiased optimization
por: Qian, Qian, et al.
Publicado: (2022) -
An improved beetle antennae search path planning algorithm for vehicles
por: Liang, Qing, et al.
Publicado: (2022) -
In-Field Calibration of Triaxial Accelerometer Based on Beetle Swarm Antenna Search Algorithm
por: Wang, Pengfei, et al.
Publicado: (2020) -
Geometric Parameter Identification of Medical Robot Based on Improved Beetle Antennae Search Algorithm
por: Kou, Bin, et al.
Publicado: (2022)