Siamese Neural Network and Multimodal Data Fusion Approach for Small-Sample Learning in Industrial Soft Sensor Modeling
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DOI: 10.1109/jsen.2024.3451148
Abstract: In industrial scenarios, soft sensor modeling often faces the challenge of underfitting due to limited available data. Therefore, in the field of industrial soft sensing, it is crucial to develop solutions for regression problems based… read more here.
Keywords: industrial soft; multimodal data; small sample; sample learning ... See more keywords
Small-Sample-Learning-Based Lithium-Ion Batteries Health Assessment: An Optimized Ensemble Framework
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DOI: 10.1109/tia.2024.3351619
Abstract: Machine Learning is widely studied in battery state of health (SOH) estimation due to its advantage in establishing the non-linear mapping between measurements and SOH. However, the requirement of a big dataset and the lack… read more here.
Keywords: soh estimation; ensemble framework; small sample; sample learning ... See more keywords
Evaluation of the Effect of the Dynamic Behavior and Topology Co-Learning of Neurons and Synapses on the Small-Sample Learning Ability of Spiking Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "Brain Sciences"
DOI: 10.3390/brainsci12020139
Abstract: Small sample learning ability is one of the most significant characteristics of the human brain. However, its mechanism is yet to be fully unveiled. In recent years, brain-inspired artificial intelligence has become a very hot… read more here.
Keywords: topology; dynamic behavior; learning ability; behavior topology ... See more keywords