Suchergebnisse - "multilayer perceptron neural networks"

Applying the Multi-Layer Perceptron Neural Network Model to Predicting School Closures: An Example of Taipei City

Autoren: Mei-Mei LIN Fu-Hsiang KUO

Quelle: Management and Economics Review, Vol 8, Iss 3, Pp 276-288 (2023)

Schlagwörter: HF5001-6182, 4. Education, high education, 05 social sciences, population decline, Business, multilayer perceptron neural networks, predicting school closure, school closures, 0506 political science

Zugangs-URL: https://doaj.org/article/d794c8102bd242c18e837f41b3556a83

Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning

Autoren: Shi, Chengchun Zhou, Yunzhe Li, Lexin

Quelle: Journal of the American Statistical Association. :1-14

Schlagwörter: FOS: Computer and information sciences, 0301 basic medicine, directed acrylic graph, Computer Science - Machine Learning, R01AG062542, Machine Learning (stat.ML), 01 natural sciences, R01AG061303, Machine Learning (cs.LG), 03 medical and health sciences, Hypothesis testing, EP/W014971/1, Statistics - Machine Learning, hypothesis testing, brain connectivity networks, generative adversarial networks, 0101 mathematics, multilayer perceptron neural networks, CIF-2102227

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39416711
http://arxiv.org/abs/2106.01474
http://eprints.lse.ac.uk/119446/

Prediction of jumbo drill penetration rate in underground mines using various machine learning approaches and traditional models

Autoren: Sasan Heydari Seyed Hadi Hoseinie Raheb Bagherpour

Quelle: Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)

Schlagwörter: Penetration rate prediction, The Rock Mass Drillability Index (RDi), Traditional models, Multilayer perceptron neural networks (MLP), Support Vector Regression (SVR), Random Forests (RF), Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/d8f03364396943f49bcef9576d34f809

Investigating the rheological characteristics of alkali-activated concrete using contemporary artificial intelligence approaches

Autoren: Amin Muhammad Nasir Al-Naghi Ahmed A. Alawi Nassar Roz-Ud-Din et al.

Quelle: Reviews on Advanced Materials Science, Vol 63, Iss 1, Pp pp. 5478-5487 (2024)

Schlagwörter: rheological properties, alkali-activated concrete, multilayer perceptron neural networks, Technology, Chemical technology, TP1-1185

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1605-8127

Zugangs-URL: https://doaj.org/article/ce7ee9bf1be441439b289ebb30e9edef

Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy

Autoren: Haitao Xu Xiangwei Wu Amith Khandakar

Quelle: Energy Science & Engineering, Vol 10, Iss 6, Pp 1902-1912 (2022)

Schlagwörter: Technology, Science, gas hydrate prevention unit, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0204 chemical engineering, methanol loss, multilayer perceptron neural networks, effect of training algorithms

Zugangs-URL: https://doaj.org/article/b7ff82683fb645268c8d06fb99bb0511

Cognitive analytics enabled responsible artificial intelligence for business model innovation: A multilayer perceptron neural networks estimation

Autoren: Kanungo, Rama Prasad Liu, Rui Gupta, Suraksha

Quelle: Journal of Business Research , 182 , Article 114788. (2024)

Schlagwörter: Cognitive analytics, RAI, Responsibility of innovation, Business Model Innovation (BMI), Healthcare, Stakeholders, Multilayer Perceptron Neural Networks (MLP NN)

Dateibeschreibung: text

Relation: https://discovery.ucl.ac.uk/id/eprint/10196956/2/Kanungo_%20Cognitive%20analytics%20enabled%20responsible%20artificial%20intelligence%20for%20business%20model%20innovation_AAM.pdf; https://discovery.ucl.ac.uk/id/eprint/10196956/

Verfügbarkeit: https://discovery.ucl.ac.uk/id/eprint/10196956/2/Kanungo_%20Cognitive%20analytics%20enabled%20responsible%20artificial%20intelligence%20for%20business%20model%20innovation_AAM.pdf
https://discovery.ucl.ac.uk/id/eprint/10196956/

Urban land-use classification using machine learning classifiers: comparative evaluation and post-classification multi-feature fusion approach

Autoren: Yashon O. Ouma Amantle Keitsile Boipuso Nkwae et al.

Quelle: European Journal of Remote Sensing, Vol 56, Iss 1 (2023)

Schlagwörter: Urban land-use land-cover, Gradient tree boosting, Random forest, Support vector machine, Multilayer perceptron neural networks, Post-classification feature fusion, Oceanography, GC1-1581, Geology, QE1-996.5

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2279-7254

Zugangs-URL: https://doaj.org/article/978bae78ce3e4a20b0d8477941d201ba

Correlation analysis and MLP / CMLP for optimum variables to predict orientation and tilt angles in intelligent solar tracking systems

Autoren: Nadia AL‐Rousan Nor Ashidi Mat Isa Mohd Khairunaz Mat Desa

Quelle: International Journal of Energy Research. 45:453-477

Schlagwörter: intelligent solar tracking systems, photovoltaic, dual-axis, cascade multilayer perceptron, linear regression, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, horizontal single-axis, 02 engineering and technology, 7. Clean energy, multilayer perceptron neural networks

Dateibeschreibung: application/pdf

Zugangs-URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/er.5676
https://hdl.handle.net/11363/5561

Combining e-nose and e-tongue for improved recognition of instant starch noodles seasonings

Autoren: Rong Ma Huishan Shen Hao Cheng et al.

Quelle: Front Nutr
Frontiers in Nutrition, Vol 9 (2023)

Schlagwörter: 2. Zero hunger, combined data, 0404 agricultural biotechnology, Nutrition. Foods and food supply, multilayer perceptron neural networks analysis, e-tongue, instant starch noodles seasonings, TX341-641, e-nose, 04 agricultural and veterinary sciences, Nutrition

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36698480
https://doaj.org/article/423f5ca31aeb41a782473680a51ae797

Wetland Restoration Prioritization Using Artificial Neural Networks

Autoren: Maleki, S. Reza Soffianian, A. Soltani Koupaei, S. et al.

Weitere Verfasser: Maleki, S. Reza Soffianian, A. Soltani Koupaei, S. et al.

Quelle: Wetlands. 40:179-192

Schlagwörter: Multilayer perceptron neural networks, [SDE] Environmental Sciences, Damaged ecosystems, Uncertainty, Remote sensing, 15. Life on land, Wetland restoration, 01 natural sciences, 6. Clean water, 13. Climate action, [SDE]Environmental Sciences, 0105 earth and related environmental sciences

Zugangs-URL: https://europepmc.org/article/AGR/IND606935635
https://link.springer.com/article/10.1007/s13157-019-01165-8
https://hal.inrae.fr/hal-02609393v1
https://doi.org/10.1007/s13157-019-01165-8

Deep neural networks for global wildfire susceptibility modelling

Autoren: Guoli Zhang Ming Wang Kai Liu

Quelle: Ecological Indicators, Vol 127, Iss , Pp 107735- (2021)

Schlagwörter: Wildfire susceptibility, Convolutional neural network, Multilayer perceptron neural networks, Artificial neural networks, Interpretability, Ecology, QH540-549.5

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1470160X21004003; https://doaj.org/toc/1470-160X

Zugangs-URL: https://doaj.org/article/d087d3f315e443c5bcb0852362543c18

Performance Comparison of Deep CNN Models for Disease Diagnosis on Apple Leaves

Autoren: Kota Akshith Reddy Sharmila Banu K Sai Kanishka Ippagunta et al.

Weitere Verfasser: Kota Akshith Reddy Sharmila Banu K Sai Kanishka Ippagunta et al.

Schlagwörter: Apple Orchards,Convolutional Neural Networks, Decision Trees, Machine Learning, Multilayer Perceptron Neural Networks

Relation: https://zenodo.org/records/5412797; oai:zenodo.org:5412797; https://doi.org/10.35940/ijeat.F3040.0810621

Verfügbarkeit: https://doi.org/10.35940/ijeat.F3040.0810621
https://zenodo.org/records/5412797

Correlation analysis and MLP/CMLP for optimum variables to predict orientation and tilt angles in intelligent solar tracking systems

Autoren: Al-Rousan, Nadia Isa, Nor Ashidi Mat Desa, Mohd Khairunaz Mat

Weitere Verfasser: Al-Rousan, Nadia Isa, Nor Ashidi Mat Desa, Mohd Khairunaz Mat

Schlagwörter: linear regression, cascade multilayer perceptron, dual-axis, horizontal single-axis, intelligent solar tracking systems, multilayer perceptron neural networks, photovoltaic

Dateibeschreibung: application/pdf

Relation: International Journal of Energy Research; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11363/5561; 45; 453; 477

Verfügbarkeit: https://hdl.handle.net/11363/5561

Flood Hazard Mapping Using the Flood and Flash-Flood Potential Index in the Buzău River Catchment, Romania

Autoren: Mihnea Cristian Popa Daniel Peptenatu Cristian Constantin Drăghici et al.

Quelle: Water ; Volume 11 ; Issue 10 ; Pages: 2116

Schlagwörter: Flash-Flood Potential Index, Flood Potential Index, bivariate model, frequency ratio, Multilayer Perceptron Neural Networks, hybrid model

Geographisches Schlagwort: agris

Dateibeschreibung: application/pdf

Relation: Hydrology; https://dx.doi.org/10.3390/w11102116

Verfügbarkeit: https://doi.org/10.3390/w11102116

Osteoporosis assessment using Multilayer Perceptron neural networks

Autoren: Harrar, Khaled Hamami, Latifa Akkoul, Sonia et al.

Weitere Verfasser: Harrar, Khaled Hamami, Latifa Akkoul, Sonia et al.

Quelle: 2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA). :217-221

Schlagwörter: [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Multilayer Perceptron Neural Networks, Cross-Validation, 0202 electrical engineering, electronic engineering, information engineering, Osteoporosis, 02 engineering and technology, Texture features, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Zugangs-URL: https://hal.science/hal-00768823v1
https://dblp.uni-trier.de/db/conf/ipta/ipta2012.html#HarrarHALJ12
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/2266
https://ieeexplore.ieee.org/document/6469528/
http://ieeexplore.ieee.org/document/6469528/
http://dblp.uni-trier.de/db/conf/ipta/ipta2012.html#HarrarHALJ12

Image classification of Kiziltepe cropland by using Gabor Wavelet Transform

Autoren: Acar, Emrullah Özerdem, Mehmet Siraç

Quelle: 2012 20th Signal Processing and Communications Applications Conference (SIU). :1-4

Schlagwörter: 2. Zero hunger, Texture Feature Vector, Agricultural Crops, MLP Neural Networks, Multilayer Perceptron Neural Networks, Network Structures, 0211 other engineering and technologies, K-Nearest Neighbors, 02 engineering and technology, Agricultural Land, 15. Life on land, Feature Vectors, Gabor Wavelet Transforms, 0202 electrical engineering, electronic engineering, information engineering, Texture Extraction

Dateibeschreibung: application/pdf

Zugangs-URL: http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006204755
http://ieeexplore.ieee.org/document/6204755/
https://dblp.uni-trier.de/db/conf/siu/siu2012.html#AcarO12
https://ieeexplore.ieee.org/document/6204755/
http://earsiv.batman.edu.tr/handle/20.500.12402/2070?locale-attribute=tr
https://hdl.handle.net/20.500.12402/2070

Comparison of Time Series Methods and Artificial Neural Networks In Reference Evapotranspiration Prediction (Case Study: Urmia)

Autoren: Nasrin Azad Talatapeh Javad Behmanesh Mojtaba Moktaseri et al.

Quelle: علوم و مهندسی آبیاری, Vol 38, Iss 4, Pp 75-85 (2016)

Schlagwörter: reference evapotranspiration, radial basis function networks, multilayer perceptron neural networks, time series models, Hydraulic engineering, TC1-978, Irrigation engineering. Reclamation of wasteland. Drainage, TC801-978

Dateibeschreibung: electronic resource

Relation: http://jise.scu.ac.ir/article_11794_584fef9d6296525262ee87b7a125f264.pdf; https://doaj.org/toc/2588-5952; https://doaj.org/toc/2588-5960

Zugangs-URL: https://doaj.org/article/ac70911cc8be47bc9f5b374f9eaecb3e

Detection of land-cover transitions by combining multidate classifiers

Autoren: L. BRUZZONE R. COSSU VERNAZZA, GIANNI

Quelle: Pattern Recognition Letters. 25:1491-1500

Schlagwörter: Change detection, Detection of land-cover transitions, Expectation-maximization algorithm, k-nn technique, Multilayer perceptron neural networks, Multiple classifier systems, Multitemporal classification, Radial basis function neural networks, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 15. Life on land

Zugangs-URL: https://hdl.handle.net/11572/43052
https://hdl.handle.net/11567/207850
https://hdl.handle.net/11567/228300

Artificial neural networks in the classification and identification of soybean cultivars by planting region

Autoren: Galão, Olívio F. Borsato, Dionísio Pinto, Jurandir P. et al.

Quelle: Journal of the Brazilian Chemical Society v.22 n.1 2011
Journal of the Brazilian Chemical Society
Sociedade Brasileira de Química (SBQ)
instacron:SBQ
Journal of the Brazilian Chemical Society, Volume: 22, Issue: 1, Pages: 142-147, Published: JAN 2011

Schlagwörter: 2. Zero hunger, re-sampling, phytosterols, 02 engineering and technology, 0210 nano-technology, multilayer perceptron neural networks, fatty acids, 01 natural sciences, 0104 chemical sciences

Dateibeschreibung: text/html

Zugangs-URL: http://www.scielo.br/pdf/jbchs/v22n1/19.pdf
https://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532011000100019&lng=pt&tlng=en
http://www.scielo.br/pdf/jbchs/v22n1/19.pdf
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532011000100019
http://www.scielo.br/j/jbchs/a/MhC9TNpbNzGSkbQkHwfVmsw/
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/44098/1/JBCS.pdf
http://www.alice.cnptia.embrapa.br/bitstream/doc/903708/1/JBCS.pdf
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532011000100019
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532011000100019&lng=en&tlng=en

Estimation of Neutronic Performance of a High Power Density Hybrid Reactor by Multilayer Perceptron Neural Networks

Autoren: Übeyli, Elif Derya Übeyli, Mustafa

Quelle: Journal of Fusion Energy. 27:278-284

Schlagwörter: multilayer perceptron neural networks (MLPNNs), 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, neutronic parameters, 02 engineering and technology, 01 natural sciences, 7. Clean energy, least mean squares (LMS) algorithm, hybrid reactor

Zugangs-URL: https://link.springer.com/article/10.1007/s10894-008-9135-4
https://link.springer.com/content/pdf/10.1007%2Fs10894-008-9135-4.pdf
http://ui.adsabs.harvard.edu/abs/2008JFuE...27..278U/abstract
https://link.springer.com/article/10.1007/s10894-008-9135-4/fulltext.html