Strength prediction of similar materials to ionic rare earth ores based on orthogonal test and back propagation neural network
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-019-03833-7
Abstract: AbstractThis paper aims to predict the strength of materials similar to the ionic rare earth (IRE) ores [hereinafter referred as similar materials (SM)]. A 4 × Y × 2 back propagation neural network (BPNN) prediction model, based on 18… read more here.
Keywords: ionic rare; strength; similar materials; prediction ... See more keywords
Back propagation bidirectional extreme learning machine for traffic flow time series prediction
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3578-y
Abstract: On account of transportation management, a predictive model of the traffic flow is built up that would precisely predict the traffic flow, reduce longer travel delays. In prediction model of traffic flow based on traditional… read more here.
Keywords: traffic; traffic flow; back propagation; machine ... See more keywords
Comparison of support vector machine, back propagation neural network and extreme learning machine for syndrome element differentiation
Sign Up to like & getrecommendations! Published in 2019 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-019-09738-z
Abstract: Artificial intelligence is a discipline which focuses on the study of simulating and extending human intelligence, while machine learning (ML) is one of the most rapidly developing subfields of AI research. The research of ML… read more here.
Keywords: machine; element differentiation; support vector; syndrome element ... See more keywords
Slide type landslide susceptibility assessment of the Büyük Menderes watershed using artificial neural network method
Sign Up to like & getrecommendations! Published in 2022 at "Environmental Science and Pollution Research"
DOI: 10.1007/s11356-022-19248-1
Abstract: The Büyük Menderes watershed is the largest drainage watershed in Western Anatolia with an area of approximately 26,000 km2. In the study area, almost 863 landslides occurred, extending over 222 km2 with a mean landslide… read more here.
Keywords: landslide susceptibility; area; susceptibility; artificial neural ... See more keywords
Data fusion in data scarce areas using a back-propagation artificial neural network model: a case study of the South China Sea
Sign Up to like & getrecommendations! Published in 2017 at "Frontiers of Earth Science"
DOI: 10.1007/s11707-017-0652-1
Abstract: The cloud cover for the South China Sea and its coastal area is relatively large throughout the year, which limits the potential application of optical remote sensing. A HJ-charge-coupled device (HJ-CCD) has the advantages of… read more here.
Keywords: propagation artificial; south china; neural network; china sea ... See more keywords
Measurement and correlation study of silymarin solubility in supercritical carbon dioxide with and without a cosolvent using semi-empirical models and back-propagation artificial neural networks
Sign Up to like & getrecommendations! Published in 2017 at "Asian Journal of Pharmaceutical Sciences"
DOI: 10.1016/j.ajps.2017.04.004
Abstract: Graphical Abstract In the present work, the solubility data of silymarin (SM) in pure supercritical carbon dioxide (SCCO2) and SCCO2 with added cosolvent was measured at temperatures ranging from 308 to 338 K and pressures from… read more here.
Keywords: models back; semi empirical; propagation artificial; supercritical carbon ... See more keywords
Modeling and optimization of A-GTAW process using back propagation neural network and heuristic algorithms
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Pressure Vessels and Piping"
DOI: 10.1016/j.ijpvp.2021.104531
Abstract: Abstract Apart from different merits of using conventional gas tungsten arc welding (C-GTAW) process, some demerits have been introduced among which shallow penetration is the most important ones. In order to cope with the mentioned… read more here.
Keywords: optimization; gtaw process; process; modeling optimization ... See more keywords
Digital back propagation based on the feedback-convergence for fiber nonlinearity compensation with low computational complexity and high performance
Sign Up to like & getrecommendations! Published in 2020 at "Optics Communications"
DOI: 10.1016/j.optcom.2020.126050
Abstract: Abstract In this paper, an improved digital back propagation (DBP) method is proposed for the compensation of fiber non-linearity, which is based on the feedback-convergence assisted split-step Fourier method. The algorithm has been experimentally verified… read more here.
Keywords: digital back; complexity; compensation; method ... See more keywords
The Construction of Sound Speed Field Based on Back Propagation Neural Network in the Global Ocean
Sign Up to like & getrecommendations! Published in 2020 at "Marine Geodesy"
DOI: 10.1080/01490419.2020.1815912
Abstract: Abstract The sound speed is a key parameter that affects the underwater acoustic positioning and navigation. Aiming at the high-precision construction of sound speed field in the complex marine environment, this paper proposes a sound… read more here.
Keywords: speed field; field; neural network; propagation neural ... See more keywords
Back propagation neural network based big data analytics for a stock market challenge
Sign Up to like & getrecommendations! Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1478103
Abstract: Abstract In this article we are presenting our methodology on solving a stock market challenge on predicting the intraday stock returns. We are presenting our complete approach on solving this challenge namely, the approaches to… read more here.
Keywords: back propagation; challenge; neural network; propagation neural ... See more keywords
Application of back propagation algorithms in neural network based identification responses of AISI 316 face milling cryogenic machining technique
Sign Up to like & getrecommendations! Published in 2020 at "Australian journal of mechanical engineering"
DOI: 10.1080/14484846.2020.1740022
Abstract: The paper explores the potential study of artificial neural network (ANN) for prediction of response surface roughness (Ra) in face milling operation with respect to cryogenic approach. The model o... read more here.
Keywords: neural network; application back; face milling; back propagation ... See more keywords