A distributed parallel training method of deep belief networks
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-020-04754-6
Abstract: Nowadays, it has become well known that efficient training of deep neural networks plays a vital role in various successful applications. To achieve this goal, it is impractical to use only one computer, especially when… read more here.
Keywords: parallel training; belief networks; deep belief; distributed parallel ... See more keywords
Deep learning for classification of normal swallows in adults
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.12.059
Abstract: Cervical auscultation is a method for assessing swallowing performance. However, its ability to serve as a classification tool for a practical clinical assessment method is not fully understood. In this study, we utilized neural network… read more here.
Keywords: classification; belief networks; deep belief; classification normal ... See more keywords
Automatic Object Searching and Behavior Learning for Mobile Robots in Unstructured Environment by Deep Belief Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2018.2841002
Abstract: Automatic object searching is one of the essential skills for domestic robots to operate in unstructured human environments. It involves concatenation of several capabilities, including object identification, obstacle avoidance, path planning, and navigation. In this… read more here.
Keywords: automatic object; behavior learning; object searching; belief networks ... See more keywords
Adaptive IDS for Cooperative Intelligent Transportation Systems Using Deep Belief Networks
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DOI: 10.3390/a15070251
Abstract: The adoption of cooperative intelligent transportation systems (cITSs) improves road safety and traffic efficiency. Vehicles connected to cITS form vehicular ad hoc networks (VANET) to exchange messages. Like other networks and systems, cITSs are targeted… read more here.
Keywords: cooperative intelligent; intelligent transportation; transportation systems; model ... See more keywords
Improved Deep Learning Based Method for Molecular Similarity Searching Using Stack of Deep Belief Networks
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DOI: 10.3390/molecules26010128
Abstract: Virtual screening (VS) is a computational practice applied in drug discovery research. VS is popularly applied in a computer-based search for new lead molecules based on molecular similarity searching. In chemical databases similarity searching is… read more here.
Keywords: belief networks; similarity searching; similarity; deep belief ... See more keywords