Noise-to-state practical stability and stabilization of random neural networks
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DOI: 10.1007/s11071-020-05628-0
Abstract: This paper is devoted to studying noise-to-state practical stability and stabilization problems for random neural networks in the presence of general disturbances. It is proved that the existence and uniqueness of solutions is ensured if… read more here.
Keywords: neural networks; state practical; random neural; practical stability ... See more keywords
The Random Neural Network in a neurocomputing application for Web search
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DOI: 10.1016/j.neucom.2017.08.075
Abstract: Abstract Web users are not assured that the results provided by Web search engines or recommender systems are either exhaustive, or even the most relevant to their search needs. Businesses that provide services through the… read more here.
Keywords: search engines; web search; search; random neural ... See more keywords
RANDOM NEURAL NETWORK LEARNING HEURISTICS – CORRIGENDUM
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DOI: 10.1017/s0269964817000298
Abstract: doi:10.1017/S0269964817000201, Published by Cambridge University Press, 22 May 2017. The original publication of this article contained an error in the affiliation list. The correct author and affiliation list is republished here. Abbas Javed, Hadi Larijani… read more here.
Keywords: learning heuristics; random neural; heuristics corrigendum; university ... See more keywords
HRNN4F: HYBRID DEEP RANDOM NEURAL NETWORK FOR MULTI-CHANNEL FALL ACTIVITY DETECTION
Sign Up to like & getrecommendations! Published in 2021 at "Probability in the Engineering and Informational Sciences"
DOI: 10.1017/s0269964819000317
Abstract: Falls are a major health concern in older adults. Falls lead to mortality, immobility and high costs to social and health care services. Early detection and classification of falls is imperative for timely and appropriate… read more here.
Keywords: neural network; random neural; learning; classification ... See more keywords
A Novel Attack Detection Scheme for the Industrial Internet of Things Using a Lightweight Random Neural Network
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DOI: 10.1109/access.2020.2994079
Abstract: The Industrial Internet of Things (IIoT) brings together many sensors, machines, industrial applications, databases, services, and people at work. The IIoT is improving our lives in several ways including smarter cities, agriculture, and e-healthcare, etc.… read more here.
Keywords: neural network; random neural; internet things; lightweight random ... See more keywords
Analysis of Alzheimer’s Disease Based on the Random Neural Network Cluster in fMRI
Sign Up to like & getrecommendations! Published in 2018 at "Frontiers in Neuroinformatics"
DOI: 10.3389/fninf.2018.00060
Abstract: As Alzheimer’s disease (AD) is featured with degeneration and irreversibility, the diagnosis of AD at early stage is important. In recent years, some researchers have tried to apply neural network (NN) to classify AD patients… read more here.
Keywords: network; alzheimer disease; random neural; neural network ... See more keywords