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
A distributed parallel firefly algorithm with communication strategies and its application for the control of variable pitch wind turbine.
Sign Up to like & getrecommendations! Published in 2021 at "ISA transactions"
DOI: 10.1016/j.isatra.2021.01.026
Abstract: Firefly algorithm (FA) is a meta-heuristic optimization algorithm inspired by nature. Due to its superior performance, it has been widely used in real life. However, it also has some shortcomings in some optimization cases, such… read more here.
Keywords: parallel firefly; communication; communication strategies; distributed parallel ... See more keywords
Toward a Low-Cost Software-Defined UHF RFID System for Distributed Parallel Sensing
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3067379
Abstract: This article presents the design and implementation of a low-cost software-defined radio-frequency identification (RFID) system for distributed parallel sensing. We aim to implement essential sensing functionalities with low-cost commodity radio components and provide full access… read more here.
Keywords: rfid; distributed parallel; software defined; low cost ... See more keywords
DNA methylation loci identification for pan-cancer early-stage diagnosis and prognosis using a new distributed parallel partial least squares method
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.940214
Abstract: Aberrant methylation is one of the early detectable events in many tumors, which is very promising for pan-cancer early-stage diagnosis and prognosis. To efficiently analyze the big pan-cancer methylation data and to overcome the co-methylation… read more here.
Keywords: distributed parallel; methylation; early stage; pan cancer ... See more keywords
Trinity: Neural Network Adaptive Distributed Parallel Training Method Based on Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2022 at "Algorithms"
DOI: 10.3390/a15040108
Abstract: Deep learning, with increasingly large datasets and complex neural networks, is widely used in computer vision and natural language processing. A resulting trend is to split and train large-scale neural network models across multiple devices… read more here.
Keywords: neural network; trinity; adaptive distributed; method ... See more keywords