Artykuły w czasopismach na temat „ANNs”
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Dao, Khoi Nguyen, i Phuong Ai Huynh. "Using artificial neural network in simulating of the streamflow in the Srepok watershed". Science and Technology Development Journal 19, nr 2 (30.06.2016): 114–20. http://dx.doi.org/10.32508/stdj.v19i2.796.
Pełny tekst źródłaLi, Li, i Kyung Soo Jun. "A Hybrid Approach to Improve Flood Forecasting by Combining a Hydrodynamic Flow Model and Artificial Neural Networks". Water 14, nr 9 (26.04.2022): 1393. http://dx.doi.org/10.3390/w14091393.
Pełny tekst źródłaTurco, Chiara, Marco Francesco Funari, Elisabete Teixeira i Ricardo Mateus. "Artificial Neural Networks to Predict the Mechanical Properties of Natural Fibre-Reinforced Compressed Earth Blocks (CEBs)". Fibers 9, nr 12 (1.12.2021): 78. http://dx.doi.org/10.3390/fib9120078.
Pełny tekst źródłaShafrai, Anton V., Larisa V. Permyakova, Dmitriy M. Borodulin i Irina Y. Sergeeva. "Modeling the Physiological Parameters of Brewer’s Yeast during Storage with Natural Zeolite-Containing Tuffs Using Artificial Neural Networks". Information 13, nr 11 (7.11.2022): 529. http://dx.doi.org/10.3390/info13110529.
Pełny tekst źródłaMimeche, Omar, Amir Aieb, Antonio Liotta i Khodir Madani. "A Novel Interannual Rainfall Runoff Equation Derived from Ol’Dekop’s Model Using Artificial Neural Networks". Sensors 22, nr 12 (8.06.2022): 4349. http://dx.doi.org/10.3390/s22124349.
Pełny tekst źródłaMeng, Jingfan, Huayi Wang, Jun Xu i Mitsunori Ogihara. "ONe Index for All Kernels (ONIAK)". Proceedings of the VLDB Endowment 15, nr 13 (wrzesień 2022): 3937–49. http://dx.doi.org/10.14778/3565838.3565847.
Pełny tekst źródłaO'Reilly, G., C. C. Bezuidenhout i J. J. Bezuidenhout. "Artificial neural networks: applications in the drinking water sector". Water Supply 18, nr 6 (31.01.2018): 1869–87. http://dx.doi.org/10.2166/ws.2018.016.
Pełny tekst źródłaGülmez, Burak, i Sinem Kulluk. "Social Spider Algorithm for Training Artificial Neural Networks". International Journal of Business Analytics 6, nr 4 (październik 2019): 32–49. http://dx.doi.org/10.4018/ijban.2019100103.
Pełny tekst źródłaKariri, Elham, Hassen Louati, Ali Louati i Fatma Masmoudi. "Exploring the Advancements and Future Research Directions of Artificial Neural Networks: A Text Mining Approach". Applied Sciences 13, nr 5 (2.03.2023): 3186. http://dx.doi.org/10.3390/app13053186.
Pełny tekst źródłaAbalo, Jesus N. "Capabilities of Computer Algorithm Utilizing Artificial Neural Networks and its Implications to Economy: A Public Policy Analysis". Proceedings of The International Halal Science and Technology Conference 14, nr 1 (10.03.2022): 83–88. http://dx.doi.org/10.31098/ihsatec.v14i1.489.
Pełny tekst źródłaChe Mamat, Rufaizal, Azuin Ramli, Muhamad Razuhanafi Mat Yazid, Anuar Kasa, Siti Fatin Mohd Razali i Mukhlis Nahriri Bastam. "Slope Stability Prediction of Road Embankment using Artificial Neural Network Combined with Genetic Algorithm". Jurnal Kejuruteraan 34, nr 1 (30.01.2022): 165–73. http://dx.doi.org/10.17576/jkukm-2022-34(1)-16.
Pełny tekst źródłaM. Handhal, Amna. "Synthesis of missing openhole well log data through artificial neural networks". Journal of Kufa-Physics 9, nr 2 (10.12.2017): 56–63. http://dx.doi.org/10.31257/2018/jkp/2017/v9.i2.9420.
Pełny tekst źródłaWang, Huayi, Jingfan Meng, Long Gong, Jun Xu i Mitsunori Ogihara. "MP-RW-LSH". Proceedings of the VLDB Endowment 14, nr 13 (wrzesień 2021): 3267–80. http://dx.doi.org/10.14778/3484224.3484226.
Pełny tekst źródłaSingh, Abha, Sumit Kushwaha, Maryam Alarfaj i Manoj Singh. "Comprehensive Overview of Backpropagation Algorithm for Digital Image Denoising". Electronics 11, nr 10 (17.05.2022): 1590. http://dx.doi.org/10.3390/electronics11101590.
Pełny tekst źródłaLoke, E., E. A. Warnaars, P. Jacobsen, F. Nelen i M. do Céu Almeida. "Artificial neural networks as a tool in urban storm drainage". Water Science and Technology 36, nr 8-9 (1.10.1997): 101–9. http://dx.doi.org/10.2166/wst.1997.0651.
Pełny tekst źródłaUmar, Muhammad, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Shumaila Javeed, Hijaz Ahmad, Sayed K. Elagen i Ahmed Khames. "Numerical Investigations through ANNs for Solving COVID-19 Model". International Journal of Environmental Research and Public Health 18, nr 22 (20.11.2021): 12192. http://dx.doi.org/10.3390/ijerph182212192.
Pełny tekst źródłaYi, Tao, Kun Peng i Jian Min Xu. "Study and Prediction of Flow and Heat Transfer Characteristics in Tube with Wire Coil Inserts of Heat Exchangers". Applied Mechanics and Materials 331 (lipiec 2013): 195–99. http://dx.doi.org/10.4028/www.scientific.net/amm.331.195.
Pełny tekst źródłaTorres-Pruñonosa, Jose, Pablo García-Estévez i Camilo Prado-Román. "Artificial Neural Network, Quantile and Semi-Log Regression Modelling of Mass Appraisal in Housing". Mathematics 9, nr 7 (6.04.2021): 783. http://dx.doi.org/10.3390/math9070783.
Pełny tekst źródłaChakrabarti, Swapan, Stan R. Svojanovsky, Romana Slavik, Gunda I. Georg, George S. Wilson i Peter G. Smith. "Artificial Neural Network—Based Analysis of High-Throughput Screening Data for Improved Prediction of Active Compounds". Journal of Biomolecular Screening 14, nr 10 (25.11.2009): 1236–44. http://dx.doi.org/10.1177/1087057109351312.
Pełny tekst źródłaChoudhury, Madhurima, Abhirup Datta i Suman Majumdar. "Extracting the 21-cm power spectrum and the reionization parameters from mock data sets using artificial neural networks". Monthly Notices of the Royal Astronomical Society 512, nr 4 (17.03.2022): 5010–22. http://dx.doi.org/10.1093/mnras/stac736.
Pełny tekst źródłaWang, Shan, Jinwei Di, Dan Wang, Xudong Dai, Yabing Hua, Xiang Gao, Aiping Zheng i Jing Gao. "State-of-the-Art Review of Artificial Neural Networks to Predict, Characterize and Optimize Pharmaceutical Formulation". Pharmaceutics 14, nr 1 (13.01.2022): 183. http://dx.doi.org/10.3390/pharmaceutics14010183.
Pełny tekst źródłaGómez-Peralta, Juan I., Nidia G. García-Peña i Xim Bokhimi. "Crystal-Site-Based Artificial Neural Networks for Material Classification". Crystals 11, nr 9 (29.08.2021): 1039. http://dx.doi.org/10.3390/cryst11091039.
Pełny tekst źródłaAbujayyab, S. K. M., M. A. S. Ahamad, A. S. Yahya i A. M. H. Y. Saad. "A NEW FRAMEWORK FOR GEOSPATIAL SITE SELECTION USING ARTIFICIAL NEURAL NETWORKS AS DECISION RULES: A CASE STUDY ON LANDFILL SITES". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-2/W2 (19.10.2015): 131–38. http://dx.doi.org/10.5194/isprsannals-ii-2-w2-131-2015.
Pełny tekst źródłaSilva, G. A. M., i D. Mendes. "Comparison results for the CFSv2 hindcasts and statistical downscaling over the northeast of Brazil". Advances in Geosciences 35 (25.07.2013): 79–88. http://dx.doi.org/10.5194/adgeo-35-79-2013.
Pełny tekst źródłaAlqahtani, Ayedh, i Andrew Whyte. "Estimation of life-cycle costs of buildings: regression vs artificial neural network". Built Environment Project and Asset Management 6, nr 1 (1.02.2016): 30–43. http://dx.doi.org/10.1108/bepam-08-2014-0035.
Pełny tekst źródłaCarmo, Daiane das Graças, Elizeu de Sá Farias, Thiago Leandro Costa, Elenir Aparecida Queiroz, Moysés Nascimento i Marcelo Coutinho Picanço. "Instar Determination of Blaptostethus pallescens (Hemiptera: Anthocoridae) Using Artificial Neural Networks". Annals of the Entomological Society of America 113, nr 1 (23.11.2019): 50–54. http://dx.doi.org/10.1093/aesa/saz059.
Pełny tekst źródłaMendyk, Aleksander, Sinan Güres, Renata Jachowicz, Jakub Szlęk, Sebastian Polak, Barbara Wiśniowska i Peter Kleinebudde. "From Heuristic to Mathematical Modeling of Drugs Dissolution Profiles: Application of Artificial Neural Networks and Genetic Programming". Computational and Mathematical Methods in Medicine 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/863874.
Pełny tekst źródłaJin, Ran, Reshma L. Mahtani, Neil Accortt, Tatiana Lawrence, Darcie Sandschafer i Arturo Loaiza-Bonilla. "Clinical and treatment characteristics of patients treated with the first therapeutic oncology biosimilars bevacizumab-awwb and trastuzumab-anns in the US". Therapeutic Advances in Medical Oncology 13 (styczeń 2021): 175883592110419. http://dx.doi.org/10.1177/17588359211041961.
Pełny tekst źródłaFilntisi, Arianna, Nikitas Papangelopoulos, Elena Bencurova, Ioannis Kasampalidis, George Matsopoulos, Dimitrios Vlachakis i Sophia Kossida. "State-of-the-Art Neural Networks Applications in Biology". International Journal of Systems Biology and Biomedical Technologies 2, nr 4 (październik 2013): 63–85. http://dx.doi.org/10.4018/ijsbbt.2013100105.
Pełny tekst źródłaRoh, Dong Min, Minxue He, Zhaojun Bai, Prabhjot Sandhu, Francis Chung, Zhi Ding, Siyu Qi i in. "Physics-Informed Neural Networks-Based Salinity Modeling in the Sacramento–San Joaquin Delta of California". Water 15, nr 13 (21.06.2023): 2320. http://dx.doi.org/10.3390/w15132320.
Pełny tekst źródłaPaulino, Rafael, i Pierre Bérubé. "A framework for the use of artificial neural networks for water treatment: development and application". Water Supply 20, nr 8 (2.09.2020): 3301–17. http://dx.doi.org/10.2166/ws.2020.205.
Pełny tekst źródłaAbbaspour-Gilandeh, Yousef, i Mohammadreza Abbaspour-Gilandeh. "Application of Computational Intelligence Methods for Predicting Soil Strength". Acta Technologica Agriculturae 22, nr 3 (1.09.2019): 80–85. http://dx.doi.org/10.2478/ata-2019-0015.
Pełny tekst źródłaMiłosz, Marek, i Janusz Gazda. "Effectiveness of artificial neural networks in recognising handwriting characters". Journal of Computer Sciences Institute 7 (30.09.2018): 210–14. http://dx.doi.org/10.35784/jcsi.680.
Pełny tekst źródłaWei, Xing, i Jun Li. "Applications of Artificial Neural Networks in Bridge Engineering". Advanced Materials Research 243-249 (maj 2011): 1984–87. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.1984.
Pełny tekst źródłaHaroon, Muhammad, Seungbum Koo, DongIk Shin i Changhyuk Kim. "Torsional Behavior Evaluation of Reinforced Concrete Beams Using Artificial Neural Network". Applied Sciences 11, nr 10 (14.05.2021): 4465. http://dx.doi.org/10.3390/app11104465.
Pełny tekst źródłaKartam, Nabil, i Tanit Tongthong. "Potential of artificial neural networks for resource scheduling". Artificial Intelligence for Engineering Design, Analysis and Manufacturing 11, nr 3 (czerwiec 1997): 171–85. http://dx.doi.org/10.1017/s0890060400003103.
Pełny tekst źródłaLiang, Yaru, Qiguang Li, Peisong Chen, Lingqing Xu i Jiehua Li. "Comparative study of back propagation artificial neural networks and logistic regression model in predicting poor prognosis after acute ischemic stroke". Open Medicine 14, nr 1 (4.04.2019): 324–30. http://dx.doi.org/10.1515/med-2019-0030.
Pełny tekst źródłaMarohnić, Tea, Robert Basan i Ela Marković. "Estimation of Cyclic Stress–Strain Curves of Steels Based on Monotonic Properties Using Artificial Neural Networks". Materials 16, nr 14 (15.07.2023): 5010. http://dx.doi.org/10.3390/ma16145010.
Pełny tekst źródłaOermann, Eric K., Marie-Adele S. Kress, Brian T. Collins, Sean P. Collins, David Morris, Stanley C. Ahalt i Matthew G. Ewend. "Predicting Survival in Patients With Brain Metastases Treated With Radiosurgery Using Artificial Neural Networks". Neurosurgery 72, nr 6 (5.03.2013): 944–52. http://dx.doi.org/10.1227/neu.0b013e31828ea04b.
Pełny tekst źródłaAzeem, Muhammad, Shumaila Javaid, Ruhul Amin Khalil, Hamza Fahim, Turke Althobaiti, Nasser Alsharif i Nasir Saeed. "Neural Networks for the Detection of COVID-19 and Other Diseases: Prospects and Challenges". Bioengineering 10, nr 7 (18.07.2023): 850. http://dx.doi.org/10.3390/bioengineering10070850.
Pełny tekst źródłaZhang, Sung-Uk. "Degradation Classification of 3D Printing Thermoplastics Using Fourier Transform Infrared Spectroscopy and Artificial Neural Networks". Applied Sciences 8, nr 8 (25.07.2018): 1224. http://dx.doi.org/10.3390/app8081224.
Pełny tekst źródłaPark, Sung Yun, Sangjoon Lee, Jae Hoon Jeong i Sung Min Kim. "Application of Artificial Neural Networks for Diagnosing Acute Appendicitis". Applied Mechanics and Materials 479-480 (grudzień 2013): 445–50. http://dx.doi.org/10.4028/www.scientific.net/amm.479-480.445.
Pełny tekst źródłaJasiński, Tomasz. "Modelling the Disaggregated Demand for Electricity in Residential Buildings Using Artificial Neural Networks (Deep Learning Approach)". Energies 13, nr 5 (9.03.2020): 1263. http://dx.doi.org/10.3390/en13051263.
Pełny tekst źródłaJubair Al-Hiealy, Mohammed Rasheed, Mohammad Shahir Bin Abdul Majed Shikh, Abdurrahman Bin Jalil, Suhaila Abdul Rahman i Muath Jarrah. "Management switching angles real-time prediction by artificial neural network". Indonesian Journal of Electrical Engineering and Computer Science 23, nr 1 (1.07.2021): 110. http://dx.doi.org/10.11591/ijeecs.v23.i1.pp110-119.
Pełny tekst źródłaNEDJAH, NADIA, RODRIGO MARTINS DA SILVA i LUIZA DE MACEDO MOURELLE. "ANALOG HARDWARE IMPLEMENTATIONS OF ARTIFICIAL NEURAL NETWORKS". Journal of Circuits, Systems and Computers 20, nr 03 (maj 2011): 349–73. http://dx.doi.org/10.1142/s0218126611007347.
Pełny tekst źródłaPerchiazzi, Gaetano, Marieann Högman, Christian Rylander, Rocco Giuliani, Tommaso Fiore i Göran Hedenstierna. "Assessment of respiratory system mechanics by artificial neural networks: an exploratory study". Journal of Applied Physiology 90, nr 5 (1.05.2001): 1817–24. http://dx.doi.org/10.1152/jappl.2001.90.5.1817.
Pełny tekst źródłaSabir, Zulqurnain, Thongchai Botmart, Muhammad Asif Zahoor Raja, Wajaree Weera i Fevzi Erdoğan. "A stochastic numerical approach for a class of singular singularly perturbed system". PLOS ONE 17, nr 11 (28.11.2022): e0277291. http://dx.doi.org/10.1371/journal.pone.0277291.
Pełny tekst źródłaPatel, A. R., i J. D. Summers. "Student vs Machine: Comparing Artificial Neural Network Predictions with Student Estimates of Market Price Using Function Structure Models". Proceedings of the Design Society 2 (maj 2022): 1669–78. http://dx.doi.org/10.1017/pds.2022.169.
Pełny tekst źródłaTAMBOURATZIS, TATIANA. "STRING MATCHING ARTIFICIAL NEURAL NETWORKS". International Journal of Neural Systems 11, nr 05 (październik 2001): 445–53. http://dx.doi.org/10.1142/s0129065701000874.
Pełny tekst źródłaPaez, Thomas L. "Neural Networks in Mechanical System Simulation, Identification, and Assessment". Shock and Vibration 1, nr 2 (1993): 177–99. http://dx.doi.org/10.1155/1993/243060.
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