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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1888 1
1897 1
1903 1
1915 1
1918 1
1939 1
1950 1
1952 2
1955 2
1956 3
1957 1
1958 1
1959 2
1960 2
1962 7
1963 7
1964 13
1965 23
1966 37
1967 34
1968 55
1969 108
1970 45
1971 127
1972 119
1973 171
1974 179
1975 194
1976 191
1977 187
1978 183
1979 167
1980 209
1981 213
1982 214
1983 278
1984 276
1985 303
1986 326
1987 396
1988 499
1989 540
1990 652
1991 774
1992 821
1993 912
1994 1062
1995 959
1996 1032
1997 1225
1998 1388
1999 1431
2000 1502
2001 1600
2002 1811
2003 1966
2004 2116
2005 2398
2006 2447
2007 2836
2008 2962
2009 3086
2010 3368
2011 3520
2012 3729
2013 4019
2014 4675
2015 5153
2016 5585
2017 5474
2018 5767
2019 6082
2020 7117
2021 7996
2022 7758
2023 7100
2024 2931

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105,072 results

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Page 1
Showing results for ann model
Search for Yann Morel instead (2 results)
ANN-Kriging hybrid model for predicting carbon and inorganic phosphorus recovery in hydrothermal carbonization.
Ismail HY, Shirazian S, Skoretska I, Mynko O, Ghanim B, Leahy JJ, Walker GM, Kwapinski W. Ismail HY, et al. Waste Manag. 2019 Feb 15;85:242-252. doi: 10.1016/j.wasman.2018.12.044. Epub 2019 Jan 2. Waste Manag. 2019. PMID: 30803578
Reaction temperature and time were considered as inputs, whereas carbon and inorganic phosphorous recovery were considered as responses in the model. Artificial neural network (ANN) model was used in order to correlate the process parameters to the outputs. . …
Reaction temperature and time were considered as inputs, whereas carbon and inorganic phosphorous recovery were considered as responses in t …
Development of ANN-Based Warpage Prediction Model for FCCSP via Subdomain Sampling and Taguchi Hyperparameter Optimization.
Cheng HC, Ma CL, Liu YL. Cheng HC, et al. Micromachines (Basel). 2023 Jun 28;14(7):1325. doi: 10.3390/mi14071325. Micromachines (Basel). 2023. PMID: 37512636 Free PMC article.
To enhance model performance, a novel subdomain-based sampling strategy and Taguchi hyperparameter optimization are proposed in the ANN algorithm. ...Moreover, the advantages of the proposed sampling and hyperparameter tuning approaches are proved by comparing with …
To enhance model performance, a novel subdomain-based sampling strategy and Taguchi hyperparameter optimization are proposed in the …
Non-linear shrinking of linear model errors.
Helin R, Indahl U, Tomic O, Liland KH. Helin R, et al. Anal Chim Acta. 2023 Jun 1;1258:341147. doi: 10.1016/j.aca.2023.341147. Epub 2023 Apr 4. Anal Chim Acta. 2023. PMID: 37087289 Free article.
ANNs and linear methods can be combined by first fitting a linear model to the data followed by a non-linear fitting of the linear model residuals using an ANN. ...RESULTS: By combining linear- and ANN modelling, we demonstrate that it is possib …
ANNs and linear methods can be combined by first fitting a linear model to the data followed by a non-linear fitting of the linear …
Machine Learning-Enabled NIR Spectroscopy. Part 3: Hyperparameter by Design (HyD) Based ANN-MLP Optimization, Model Generalizability, and Model Transferability.
Ali H, Muthudoss P, Chauhan C, Kaliappan I, Kumar D, Paudel A, Ramasamy G. Ali H, et al. AAPS PharmSciTech. 2023 Dec 7;24(8):254. doi: 10.1208/s12249-023-02697-3. AAPS PharmSciTech. 2023. PMID: 38062329
Data variations, library changes, and poorly tuned hyperparameters can cause failures in data-driven modelling. In such scenarios, model drift, a gradual shift in model performance, can lead to inaccurate predictions. ...Out-of-specification and process contr …
Data variations, library changes, and poorly tuned hyperparameters can cause failures in data-driven modelling. In such scenarios, …
Comparison of ANFIS and ANN modeling for predicting the water absorption behavior of polyurethane treated polyester fabric.
Sarkar J, Prottoy ZH, Bari MT, Al Faruque MA. Sarkar J, et al. Heliyon. 2021 Sep 15;7(9):e08000. doi: 10.1016/j.heliyon.2021.e08000. eCollection 2021 Sep. Heliyon. 2021. PMID: 34585015 Free PMC article.
On the other hand, the system was trained with 70% data for constructing the ANN model whereas testing and validation were done with 15% data, respectively. ...The coefficient of determination (R(2)) was found to be 0.98 and 0.93 for ANFIS and ANN model …
On the other hand, the system was trained with 70% data for constructing the ANN model whereas testing and validation were don …
Prediction of irrigation groundwater quality parameters using ANN, LSTM, and MLR models.
Kouadri S, Pande CB, Panneerselvam B, Moharir KN, Elbeltagi A. Kouadri S, et al. Environ Sci Pollut Res Int. 2022 Mar;29(14):21067-21091. doi: 10.1007/s11356-021-17084-3. Epub 2021 Nov 8. Environ Sci Pollut Res Int. 2022. PMID: 34748181
The first and second scenario performance was created based on all and second reduction input variables. The ANN, LSTM, and MLR models have discovered that excluding for ANN and MLR models shows high accuracy in first and second scenario models, …
The first and second scenario performance was created based on all and second reduction input variables. The ANN, LSTM, and MLR mo …
A study of uncertainties in groundwater vulnerability modelling using Bayesian model averaging (BMA).
Gharekhani M, Nadiri AA, Khatibi R, Sadeghfam S, Asghari Moghaddam A. Gharekhani M, et al. J Environ Manage. 2022 Feb 1;303:114168. doi: 10.1016/j.jenvman.2021.114168. Epub 2021 Dec 8. J Environ Manage. 2022. PMID: 34894494
BMA is naturally an Inclusive Multiple Modelling (IMM) strategy at two levels; at Level 1 multiple models are constructed and the paper constructs three AI (Artificial Intelligence) models, which comprise ANN (Artificial Neural Network), GEP (Gene Expr …
BMA is naturally an Inclusive Multiple Modelling (IMM) strategy at two levels; at Level 1 multiple models are constructed and …
Rapid response modeling of SARS-CoV-2 transmission.
Zelner J, Eisenberg M. Zelner J, et al. Science. 2022 May 6;376(6593):579-580. doi: 10.1126/science.abp9498. Epub 2022 May 5. Science. 2022. PMID: 35511985
What can modelers learn from recent history to help prepare for the next pandemic?...
What can modelers learn from recent history to help prepare for the next pandemic?...
SVM and ANN Modelling Approach for the Optimization of Membrane Permeability of a Membrane Rotating Biological Contactor for Wastewater Treatment.
Waqas S, Harun NY, Sambudi NS, Arshad U, Nordin NAHM, Bilad MR, Saeed AAH, Malik AA. Waqas S, et al. Membranes (Basel). 2022 Aug 23;12(9):821. doi: 10.3390/membranes12090821. Membranes (Basel). 2022. PMID: 36135840 Free PMC article.
In the current study, a support vector machine (SVM) and artificial neural networks (ANN) modelling approach was adopted to optimize the membrane permeability in a novel membrane rotating biological contactor (MRBC). ...An overall comparison of predictive models …
In the current study, a support vector machine (SVM) and artificial neural networks (ANN) modelling approach was adopted to op …
Prediction Models for Evaluating Resilient Modulus of Stabilized Aggregate Bases in Wet and Dry Alternating Environments: ANN and GEP Approaches.
Khan K, Jalal FE, Khan MA, Salami BA, Amin MN, Alabdullah AA, Samiullah Q, Arab AMA, Faraz MI, Iqbal M. Khan K, et al. Materials (Basel). 2022 Jun 21;15(13):4386. doi: 10.3390/ma15134386. Materials (Basel). 2022. PMID: 35806507 Free PMC article.
The sensitivity analysis showed the sequences of importance as: DMR > CSAFR > WDC > sigma4 > sigma3, (ANN model) and DMR > WDC > CSAFR > sigma4 > sigma3 (GEP model). Both the ANN and GEP models reflected close agreement b …
The sensitivity analysis showed the sequences of importance as: DMR > CSAFR > WDC > sigma4 > sigma3, (ANN model) a …
105,072 results
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