Artículos de revistas sobre el tema "Feed-forward ANNs"
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Golpour, Iman, Ana Cristina Ferrão, Fernando Gonçalves, Paula M. R. Correia, Ana M. Blanco-Marigorta y Raquel P. F. Guiné. "Extraction of Phenolic Compounds with Antioxidant Activity from Strawberries: Modelling with Artificial Neural Networks (ANNs)". Foods 10, n.º 9 (20 de septiembre de 2021): 2228. http://dx.doi.org/10.3390/foods10092228.
Texto completoO'Reilly, G., C. C. Bezuidenhout y J. J. Bezuidenhout. "Artificial neural networks: applications in the drinking water sector". Water Supply 18, n.º 6 (31 de enero de 2018): 1869–87. http://dx.doi.org/10.2166/ws.2018.016.
Texto completoDaud, Suleman, Khan Shahzada, M. Tufail y M. Fahad. "Stream Flow Modeling of River Swat Using Regression and Artificial Neural Networks (ANNs) Techniques". Advanced Materials Research 255-260 (mayo de 2011): 679–83. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.679.
Texto completoNovickis, Rihards, Daniels Jānis Justs, Kaspars Ozols y Modris Greitāns. "An Approach of Feed-Forward Neural Network Throughput-Optimized Implementation in FPGA". Electronics 9, n.º 12 (18 de diciembre de 2020): 2193. http://dx.doi.org/10.3390/electronics9122193.
Texto completoAl Khatib, Mohamed y Samer Al Martini. "A Study on the Application of Artificial Neural Networks on Green Self Consolidating Concrete (SCC) under Hot Weather". Key Engineering Materials 677 (enero de 2016): 254–59. http://dx.doi.org/10.4028/www.scientific.net/kem.677.254.
Texto completoSabir, Zulqurnain, Thongchai Botmart, Muhammad Asif Zahoor Raja, Wajaree Weera y Fevzi Erdoğan. "A stochastic numerical approach for a class of singular singularly perturbed system". PLOS ONE 17, n.º 11 (28 de noviembre de 2022): e0277291. http://dx.doi.org/10.1371/journal.pone.0277291.
Texto completoMahmoudi, Amir Hossein, Mitra Ghanbari-Matloob y Soroush Heydarian. "A Neural Networks Approach to Measure Residual Stresses Using Spherical Indentation". Materials Science Forum 768-769 (septiembre de 2013): 114–19. http://dx.doi.org/10.4028/www.scientific.net/msf.768-769.114.
Texto completoKaveh, M. y R. A. Chayjan. "Mathematical and neural network modelling of terebinth fruit under fluidized bed drying". Research in Agricultural Engineering 61, No. 2 (2 de junio de 2016): 55–65. http://dx.doi.org/10.17221/56/2013-rae.
Texto completoAbujayyab, S. K. M., M. A. S. Ahamad, A. S. Yahya y 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 de octubre de 2015): 131–38. http://dx.doi.org/10.5194/isprsannals-ii-2-w2-131-2015.
Texto completoGallo, Mariano y Giuseppina De Luca. "Spatial Extension of Road Traffic Sensor Data with Artificial Neural Networks". Sensors 18, n.º 8 (12 de agosto de 2018): 2640. http://dx.doi.org/10.3390/s18082640.
Texto completoHettiarachchi, P., M. J. Hall y A. W. Minns. "The extrapolation of artificial neural networks for the modelling of rainfall—runoff relationships". Journal of Hydroinformatics 7, n.º 4 (1 de octubre de 2005): 291–96. http://dx.doi.org/10.2166/hydro.2005.0025.
Texto completoShahbazian, Alireza, Hamidreza Rabiefar y Babak Aminnejad. "Shear Strength Determination in RC Beams Using ANN Trained with Tabu Search Training Algorithm". Advances in Civil Engineering 2021 (24 de noviembre de 2021): 1–14. http://dx.doi.org/10.1155/2021/1639214.
Texto completoAalimahmoody, Nasrin, Chiara Bedon, Nasim Hasanzadeh-Inanlou, Amir Hasanzade-Inallu y Mehdi Nikoo. "BAT Algorithm-Based ANN to Predict the Compressive Strength of Concrete—A Comparative Study". Infrastructures 6, n.º 6 (26 de mayo de 2021): 80. http://dx.doi.org/10.3390/infrastructures6060080.
Texto completoBerus, Lucijano, Simon Klancnik, Miran Brezocnik y Mirko Ficko. "Classifying Parkinson’s Disease Based on Acoustic Measures Using Artificial Neural Networks". Sensors 19, n.º 1 (20 de diciembre de 2018): 16. http://dx.doi.org/10.3390/s19010016.
Texto completoDemiralay, Raziye, Ibrahim Akdenizli y Halime Boztoprak. "Estimating of student success with artificial neural networks". New Trends and Issues Proceedings on Humanities and Social Sciences 3, n.º 7 (23 de julio de 2017): 21–27. http://dx.doi.org/10.18844/prosoc.v3i7.1980.
Texto completoSuchacz, Bogdan y Marek Wesolowski. "Herbal drug raw materials differentiation by neural networks using non-metals content". Open Chemistry 8, n.º 6 (1 de diciembre de 2010): 1298–304. http://dx.doi.org/10.2478/s11532-010-0105-0.
Texto completoKechagias, John, Aristidis Tsiolikas, Panagiotis Asteris y Nikolaos Vaxevanidis. "Optimizing ANN performance using DOE: application on turning of a titanium alloy". MATEC Web of Conferences 178 (2018): 01017. http://dx.doi.org/10.1051/matecconf/201817801017.
Texto completoSrisaeng, Panarat, Glenn S. Baxter y Graham Wild. "FORECASTING DEMAND FOR LOW COST CARRIERS IN AUSTRALIA USING AN ARTIFICIAL NEURAL NETWORK APPROACH". Aviation 19, n.º 2 (24 de junio de 2015): 90–103. http://dx.doi.org/10.3846/16487788.2015.1054157.
Texto completoNourani, Vahid, Elnaz Sharghi y Mohammad Hossein Aminfar. "Integrated ANN model for earthfill dams seepage analysis: Sattarkhan Dam in Iran". Artificial Intelligence Research 1, n.º 2 (30 de agosto de 2012): 22. http://dx.doi.org/10.5430/air.v1n2p22.
Texto completoGonzález-Pérez, Carlos Alberto y Jaime De-la-Colina. "Determination of Mass Properties in Floor Slabs from the Dynamic Response Using Artificial Neural Networks". Civil Engineering Journal 8, n.º 8 (1 de agosto de 2022): 1549–64. http://dx.doi.org/10.28991/cej-2022-08-08-01.
Texto completoRaja, Muhammad Asif Zahoor, Kiran Asma y Muhammad Saeed Aslam. "Bio-inspired computational heuristics to study models of HIV infection of CD4+ T-cell". International Journal of Biomathematics 11, n.º 02 (febrero de 2018): 1850019. http://dx.doi.org/10.1142/s1793524518500195.
Texto completoBrkić, Srđan, Predrag Ivaniš y Bane Vasić. "On guaranteed correction of error patterns with artificial neural networks". Telfor Journal 14, n.º 2 (2022): 51–55. http://dx.doi.org/10.5937/telfor2202051b.
Texto completoSong, Yang, Dawei Han y Miguel A. Rico-Ramirez. "High temporal resolution rainfall rate estimation from rain gauge measurements". Journal of Hydroinformatics 19, n.º 6 (24 de agosto de 2017): 930–41. http://dx.doi.org/10.2166/hydro.2017.054.
Texto completoMalik, Samander Ali, Assad Farooq, Thomas Gereke y Chokri Cherif. "Prediction of Blended Yarn Evenness and Tensile Properties by Using Artificial Neural Network and Multiple Linear Regression". Autex Research Journal 16, n.º 2 (1 de junio de 2016): 43–50. http://dx.doi.org/10.1515/aut-2015-0018.
Texto completoRaja, Muhammad Asif Zahoor, Mohmmad Abdul Rehman Khan, Tariq Mahmood, Umair Farooq y Naveed Ishtiaq Chaudhary. "Design of bio-inspired computing technique for nanofluidics based on nonlinear Jeffery–Hamel flow equations". Canadian Journal of Physics 94, n.º 5 (mayo de 2016): 474–89. http://dx.doi.org/10.1139/cjp-2015-0440.
Texto completoCigizoglu, H. Kerem y Özgür Kişi. "Flow prediction by three back propagation techniques using k-fold partitioning of neural network training data". Hydrology Research 36, n.º 1 (1 de febrero de 2005): 49–64. http://dx.doi.org/10.2166/nh.2005.0005.
Texto completoAwad, Asmaa J., Ahmed A. Ahmed y Osamah F. Abdulateef. "Estimate and Analysis the Availability of Generator in Electric Power Plant Using ANN". Al-Khwarizmi Engineering Journal 18, n.º 2 (16 de junio de 2022): 1–12. http://dx.doi.org/10.22153/kej.2022.04.001.
Texto completoBhyrapuneni, Srikanth y Anandan Rajendran. "A Comparative Analysis for Optical Character Recognition for Text Extraction from Images Using Artificial Neural Network Fuzzy Inference System". Traitement du Signal 39, n.º 1 (28 de febrero de 2022): 283–89. http://dx.doi.org/10.18280/ts.390129.
Texto completoCostiris, N., E. Mavrommatis, K. A. Gernoth y J. W. Clark. "A Global Model of β−-Decay Half-Lives Using Neural Networks". HNPS Proceedings 15 (1 de enero de 2020): 210. http://dx.doi.org/10.12681/hnps.2640.
Texto completoWilliamson, Roddy y Abdul Chrachri. "A model biological neural network: the cephalopod vestibular system". Philosophical Transactions of the Royal Society B: Biological Sciences 362, n.º 1479 (17 de enero de 2007): 473–81. http://dx.doi.org/10.1098/rstb.2006.1975.
Texto completoGajamannage, K., D. I. Jayathilake, Y. Park y E. M. Bollt. "Recurrent neural networks for dynamical systems: Applications to ordinary differential equations, collective motion, and hydrological modeling". Chaos: An Interdisciplinary Journal of Nonlinear Science 33, n.º 1 (enero de 2023): 013109. http://dx.doi.org/10.1063/5.0088748.
Texto completoMJOLSNESS, ERIC. "ON COOPERATIVE QUASI-EQUILIBRIUM MODELS OF TRANSCRIPTIONAL REGULATION". Journal of Bioinformatics and Computational Biology 05, n.º 02b (abril de 2007): 467–90. http://dx.doi.org/10.1142/s0219720007002874.
Texto completoYin, Ying, G. Y. Tian, Guo Fu Yin y A. M. Luo. "Defect Identification and Classification for Digital X-Ray Images". Applied Mechanics and Materials 10-12 (diciembre de 2007): 543–47. http://dx.doi.org/10.4028/www.scientific.net/amm.10-12.543.
Texto completoKUNHIMANGALAM, REEDA, SUJITH OVALLATH y PAUL K. JOSEPH. "ARTIFICIAL NEURAL NETWORKS IN THE IDENTIFICATION OF PERIPHERAL NERVE DISORDERS". Journal of Mechanics in Medicine and Biology 12, n.º 04 (septiembre de 2012): 1240018. http://dx.doi.org/10.1142/s0219519412400180.
Texto completoZheng, Jin Xing, Ming Jun Zhang y Qing Xin Meng. "Tool Cutting Force Modeling in High Speed Milling Using PSO-BP Neural Network". Key Engineering Materials 375-376 (marzo de 2008): 515–19. http://dx.doi.org/10.4028/www.scientific.net/kem.375-376.515.
Texto completoAyrulu-Erdem, Birsel y Billur Barshan. "Leg Motion Classification with Artificial Neural Networks Using Wavelet-Based Features of Gyroscope Signals". Sensors 11, n.º 2 (28 de enero de 2011): 1721–43. http://dx.doi.org/10.3390/s110201721.
Texto completoGHOSH, RANADHIR, JOHN YEARWOOD, MOUMITA GHOSH y ADIL BAGIROV. "A HYBRID NEURAL LEARNING ALGORITHM USING EVOLUTIONARY LEARNING AND DERIVATIVE FREE LOCAL SEARCH METHOD". International Journal of Neural Systems 16, n.º 03 (junio de 2006): 201–13. http://dx.doi.org/10.1142/s0129065706000615.
Texto completoLópez-Aguilar, Kelvin, Adalberto Benavides-Mendoza, Susana González-Morales, Antonio Juárez-Maldonado, Pamela Chiñas-Sánchez y Alvaro Morelos-Moreno. "Artificial Neural Network Modeling of Greenhouse Tomato Yield and Aerial Dry Matter". Agriculture 10, n.º 4 (1 de abril de 2020): 97. http://dx.doi.org/10.3390/agriculture10040097.
Texto completoRobertson, Simon G. y Alexander K. Morison. "A trial of artificial neural networks for automatically estimating the age of fish". Marine and Freshwater Research 50, n.º 1 (1999): 73. http://dx.doi.org/10.1071/mf98039.
Texto completoNan, Dong Xiang, Yun Sheng Zhang y Xue Qiang Sun. "Modeling of Proportional Integral Derivative Neural Networks Based on Quantum Computation". Advanced Materials Research 267 (junio de 2011): 757–61. http://dx.doi.org/10.4028/www.scientific.net/amr.267.757.
Texto completoALTUN, A. ALPASLAN, H. ERDINC KOCER y NOVRUZ ALLAHVERDI. "GENETIC ALGORITHM BASED FEATURE SELECTION LEVEL FUSION USING FINGERPRINT AND IRIS BIOMETRICS". International Journal of Pattern Recognition and Artificial Intelligence 22, n.º 03 (mayo de 2008): 585–600. http://dx.doi.org/10.1142/s0218001408006351.
Texto completoUmar, Muhammad, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Manoj Gupta y Yolanda Guerrero Sánchez. "A Stochastic Intelligent Computing with Neuro-Evolution Heuristics for Nonlinear SITR System of Novel COVID-19 Dynamics". Symmetry 12, n.º 10 (2 de octubre de 2020): 1628. http://dx.doi.org/10.3390/sym12101628.
Texto completoDiez, Francisco J., Ouiam F. Boukharta, Luis M. Navas-Gracia, Leticia Chico-Santamarta, Andrés Martínez-Rodríguez y Adriana Correa-Guimaraes. "Daily Estimation of Global Solar Irradiation and Temperatures Using Artificial Neural Networks through the Virtual Weather Station Concept in Castilla and León, Spain". Sensors 22, n.º 20 (13 de octubre de 2022): 7772. http://dx.doi.org/10.3390/s22207772.
Texto completoOsofisan, P. B. y J. O. Ilevbare. "Artificial Neural Network Approach for Solving Power Flow Problem: A Case Study of Ayede 132 KV Power System, Nigeria". Advanced Materials Research 367 (octubre de 2011): 133–41. http://dx.doi.org/10.4028/www.scientific.net/amr.367.133.
Texto completoGašperlin, M., F. Podlogar y R. Šibanc. "Evolutionary Artificial Neural Networks as Tools for Predicting the Internal Structure of Microemulsions". Journal of Pharmacy & Pharmaceutical Sciences 11, n.º 1 (24 de marzo de 2008): 67. http://dx.doi.org/10.18433/j3f594.
Texto completoIliadis, Lazaros, Shawn D. Mansfield, Stavros Avramidis y Yousry A. El-Kassaby. "Predicting Douglas-fir wood density by artificial neural networks (ANN) based on progeny testing information". Holzforschung 67, n.º 7 (1 de octubre de 2013): 771–77. http://dx.doi.org/10.1515/hf-2012-0132.
Texto completoJiménez-Macías, Emilio, Angel Sánchez-Roca, Hipólito Carvajal-Fals, Julio Blanco-Fernández y Eduardo Martínez-Cámara. "Wavelets Application in Prediction of Friction Stir Welding Parameters of Alloy Joints from Vibroacoustic ANN-Based Model". Abstract and Applied Analysis 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/728564.
Texto completoELRAGAL, HASSAN M. "IMPROVING NEURAL NETWORKS PREDICTION ACCURACY USING PARTICLE SWARM OPTIMIZATION COMBINER". International Journal of Neural Systems 19, n.º 05 (octubre de 2009): 387–93. http://dx.doi.org/10.1142/s0129065709002099.
Texto completoGoodacre, Royston. "Use of Pyrolysis Mass Spectrometry with Supervised Learning for the Assessment of the Adulteration of Milk of Different Species". Applied Spectroscopy 51, n.º 8 (agosto de 1997): 1144–53. http://dx.doi.org/10.1366/0003702971941665.
Texto completoÖzdoğan, Hasan, Yiğit Ali Üncü, Mert Şekerci y Abdullah Kaplan. "A study on the estimations of (n, t) reaction cross-sections at 14.5 MeV by using artificial neural network". Modern Physics Letters A 36, n.º 23 (30 de julio de 2021): 2150168. http://dx.doi.org/10.1142/s0217732321501686.
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