Artykuły w czasopismach na temat „Feed-forward ANNs”
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Golpour, Iman, Ana Cristina Ferrão, Fernando Gonçalves, Paula M. R. Correia, Ana M. Blanco-Marigorta i Raquel P. F. Guiné. "Extraction of Phenolic Compounds with Antioxidant Activity from Strawberries: Modelling with Artificial Neural Networks (ANNs)". Foods 10, nr 9 (20.09.2021): 2228. http://dx.doi.org/10.3390/foods10092228.
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 źródłaDaud, Suleman, Khan Shahzada, M. Tufail i M. Fahad. "Stream Flow Modeling of River Swat Using Regression and Artificial Neural Networks (ANNs) Techniques". Advanced Materials Research 255-260 (maj 2011): 679–83. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.679.
Pełny tekst źródłaNovickis, Rihards, Daniels Jānis Justs, Kaspars Ozols i Modris Greitāns. "An Approach of Feed-Forward Neural Network Throughput-Optimized Implementation in FPGA". Electronics 9, nr 12 (18.12.2020): 2193. http://dx.doi.org/10.3390/electronics9122193.
Pełny tekst źródłaAl Khatib, Mohamed, i 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 (styczeń 2016): 254–59. http://dx.doi.org/10.4028/www.scientific.net/kem.677.254.
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 źródłaMahmoudi, Amir Hossein, Mitra Ghanbari-Matloob i Soroush Heydarian. "A Neural Networks Approach to Measure Residual Stresses Using Spherical Indentation". Materials Science Forum 768-769 (wrzesień 2013): 114–19. http://dx.doi.org/10.4028/www.scientific.net/msf.768-769.114.
Pełny tekst źródłaKaveh, M., i R. A. Chayjan. "Mathematical and neural network modelling of terebinth fruit under fluidized bed drying". Research in Agricultural Engineering 61, No. 2 (2.06.2016): 55–65. http://dx.doi.org/10.17221/56/2013-rae.
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 źródłaGallo, Mariano, i Giuseppina De Luca. "Spatial Extension of Road Traffic Sensor Data with Artificial Neural Networks". Sensors 18, nr 8 (12.08.2018): 2640. http://dx.doi.org/10.3390/s18082640.
Pełny tekst źródłaHettiarachchi, P., M. J. Hall i A. W. Minns. "The extrapolation of artificial neural networks for the modelling of rainfall—runoff relationships". Journal of Hydroinformatics 7, nr 4 (1.10.2005): 291–96. http://dx.doi.org/10.2166/hydro.2005.0025.
Pełny tekst źródłaShahbazian, Alireza, Hamidreza Rabiefar i Babak Aminnejad. "Shear Strength Determination in RC Beams Using ANN Trained with Tabu Search Training Algorithm". Advances in Civil Engineering 2021 (24.11.2021): 1–14. http://dx.doi.org/10.1155/2021/1639214.
Pełny tekst źródłaAalimahmoody, Nasrin, Chiara Bedon, Nasim Hasanzadeh-Inanlou, Amir Hasanzade-Inallu i Mehdi Nikoo. "BAT Algorithm-Based ANN to Predict the Compressive Strength of Concrete—A Comparative Study". Infrastructures 6, nr 6 (26.05.2021): 80. http://dx.doi.org/10.3390/infrastructures6060080.
Pełny tekst źródłaBerus, Lucijano, Simon Klancnik, Miran Brezocnik i Mirko Ficko. "Classifying Parkinson’s Disease Based on Acoustic Measures Using Artificial Neural Networks". Sensors 19, nr 1 (20.12.2018): 16. http://dx.doi.org/10.3390/s19010016.
Pełny tekst źródłaDemiralay, Raziye, Ibrahim Akdenizli i Halime Boztoprak. "Estimating of student success with artificial neural networks". New Trends and Issues Proceedings on Humanities and Social Sciences 3, nr 7 (23.07.2017): 21–27. http://dx.doi.org/10.18844/prosoc.v3i7.1980.
Pełny tekst źródłaSuchacz, Bogdan, i Marek Wesolowski. "Herbal drug raw materials differentiation by neural networks using non-metals content". Open Chemistry 8, nr 6 (1.12.2010): 1298–304. http://dx.doi.org/10.2478/s11532-010-0105-0.
Pełny tekst źródłaKechagias, John, Aristidis Tsiolikas, Panagiotis Asteris i 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.
Pełny tekst źródłaSrisaeng, Panarat, Glenn S. Baxter i Graham Wild. "FORECASTING DEMAND FOR LOW COST CARRIERS IN AUSTRALIA USING AN ARTIFICIAL NEURAL NETWORK APPROACH". Aviation 19, nr 2 (24.06.2015): 90–103. http://dx.doi.org/10.3846/16487788.2015.1054157.
Pełny tekst źródłaNourani, Vahid, Elnaz Sharghi i Mohammad Hossein Aminfar. "Integrated ANN model for earthfill dams seepage analysis: Sattarkhan Dam in Iran". Artificial Intelligence Research 1, nr 2 (30.08.2012): 22. http://dx.doi.org/10.5430/air.v1n2p22.
Pełny tekst źródłaGonzález-Pérez, Carlos Alberto, i Jaime De-la-Colina. "Determination of Mass Properties in Floor Slabs from the Dynamic Response Using Artificial Neural Networks". Civil Engineering Journal 8, nr 8 (1.08.2022): 1549–64. http://dx.doi.org/10.28991/cej-2022-08-08-01.
Pełny tekst źródłaRaja, Muhammad Asif Zahoor, Kiran Asma i Muhammad Saeed Aslam. "Bio-inspired computational heuristics to study models of HIV infection of CD4+ T-cell". International Journal of Biomathematics 11, nr 02 (luty 2018): 1850019. http://dx.doi.org/10.1142/s1793524518500195.
Pełny tekst źródłaBrkić, Srđan, Predrag Ivaniš i Bane Vasić. "On guaranteed correction of error patterns with artificial neural networks". Telfor Journal 14, nr 2 (2022): 51–55. http://dx.doi.org/10.5937/telfor2202051b.
Pełny tekst źródłaSong, Yang, Dawei Han i Miguel A. Rico-Ramirez. "High temporal resolution rainfall rate estimation from rain gauge measurements". Journal of Hydroinformatics 19, nr 6 (24.08.2017): 930–41. http://dx.doi.org/10.2166/hydro.2017.054.
Pełny tekst źródłaMalik, Samander Ali, Assad Farooq, Thomas Gereke i Chokri Cherif. "Prediction of Blended Yarn Evenness and Tensile Properties by Using Artificial Neural Network and Multiple Linear Regression". Autex Research Journal 16, nr 2 (1.06.2016): 43–50. http://dx.doi.org/10.1515/aut-2015-0018.
Pełny tekst źródłaRaja, Muhammad Asif Zahoor, Mohmmad Abdul Rehman Khan, Tariq Mahmood, Umair Farooq i Naveed Ishtiaq Chaudhary. "Design of bio-inspired computing technique for nanofluidics based on nonlinear Jeffery–Hamel flow equations". Canadian Journal of Physics 94, nr 5 (maj 2016): 474–89. http://dx.doi.org/10.1139/cjp-2015-0440.
Pełny tekst źródłaCigizoglu, H. Kerem, i Özgür Kişi. "Flow prediction by three back propagation techniques using k-fold partitioning of neural network training data". Hydrology Research 36, nr 1 (1.02.2005): 49–64. http://dx.doi.org/10.2166/nh.2005.0005.
Pełny tekst źródłaAwad, Asmaa J., Ahmed A. Ahmed i Osamah F. Abdulateef. "Estimate and Analysis the Availability of Generator in Electric Power Plant Using ANN". Al-Khwarizmi Engineering Journal 18, nr 2 (16.06.2022): 1–12. http://dx.doi.org/10.22153/kej.2022.04.001.
Pełny tekst źródłaBhyrapuneni, Srikanth, i 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, nr 1 (28.02.2022): 283–89. http://dx.doi.org/10.18280/ts.390129.
Pełny tekst źródłaCostiris, N., E. Mavrommatis, K. A. Gernoth i J. W. Clark. "A Global Model of β−-Decay Half-Lives Using Neural Networks". HNPS Proceedings 15 (1.01.2020): 210. http://dx.doi.org/10.12681/hnps.2640.
Pełny tekst źródłaWilliamson, Roddy, i Abdul Chrachri. "A model biological neural network: the cephalopod vestibular system". Philosophical Transactions of the Royal Society B: Biological Sciences 362, nr 1479 (17.01.2007): 473–81. http://dx.doi.org/10.1098/rstb.2006.1975.
Pełny tekst źródłaGajamannage, K., D. I. Jayathilake, Y. Park i 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, nr 1 (styczeń 2023): 013109. http://dx.doi.org/10.1063/5.0088748.
Pełny tekst źródłaMJOLSNESS, ERIC. "ON COOPERATIVE QUASI-EQUILIBRIUM MODELS OF TRANSCRIPTIONAL REGULATION". Journal of Bioinformatics and Computational Biology 05, nr 02b (kwiecień 2007): 467–90. http://dx.doi.org/10.1142/s0219720007002874.
Pełny tekst źródłaYin, Ying, G. Y. Tian, Guo Fu Yin i A. M. Luo. "Defect Identification and Classification for Digital X-Ray Images". Applied Mechanics and Materials 10-12 (grudzień 2007): 543–47. http://dx.doi.org/10.4028/www.scientific.net/amm.10-12.543.
Pełny tekst źródłaKUNHIMANGALAM, REEDA, SUJITH OVALLATH i PAUL K. JOSEPH. "ARTIFICIAL NEURAL NETWORKS IN THE IDENTIFICATION OF PERIPHERAL NERVE DISORDERS". Journal of Mechanics in Medicine and Biology 12, nr 04 (wrzesień 2012): 1240018. http://dx.doi.org/10.1142/s0219519412400180.
Pełny tekst źródłaZheng, Jin Xing, Ming Jun Zhang i Qing Xin Meng. "Tool Cutting Force Modeling in High Speed Milling Using PSO-BP Neural Network". Key Engineering Materials 375-376 (marzec 2008): 515–19. http://dx.doi.org/10.4028/www.scientific.net/kem.375-376.515.
Pełny tekst źródłaAyrulu-Erdem, Birsel, i Billur Barshan. "Leg Motion Classification with Artificial Neural Networks Using Wavelet-Based Features of Gyroscope Signals". Sensors 11, nr 2 (28.01.2011): 1721–43. http://dx.doi.org/10.3390/s110201721.
Pełny tekst źródłaGHOSH, RANADHIR, JOHN YEARWOOD, MOUMITA GHOSH i ADIL BAGIROV. "A HYBRID NEURAL LEARNING ALGORITHM USING EVOLUTIONARY LEARNING AND DERIVATIVE FREE LOCAL SEARCH METHOD". International Journal of Neural Systems 16, nr 03 (czerwiec 2006): 201–13. http://dx.doi.org/10.1142/s0129065706000615.
Pełny tekst źródłaLópez-Aguilar, Kelvin, Adalberto Benavides-Mendoza, Susana González-Morales, Antonio Juárez-Maldonado, Pamela Chiñas-Sánchez i Alvaro Morelos-Moreno. "Artificial Neural Network Modeling of Greenhouse Tomato Yield and Aerial Dry Matter". Agriculture 10, nr 4 (1.04.2020): 97. http://dx.doi.org/10.3390/agriculture10040097.
Pełny tekst źródłaRobertson, Simon G., i Alexander K. Morison. "A trial of artificial neural networks for automatically estimating the age of fish". Marine and Freshwater Research 50, nr 1 (1999): 73. http://dx.doi.org/10.1071/mf98039.
Pełny tekst źródłaNan, Dong Xiang, Yun Sheng Zhang i Xue Qiang Sun. "Modeling of Proportional Integral Derivative Neural Networks Based on Quantum Computation". Advanced Materials Research 267 (czerwiec 2011): 757–61. http://dx.doi.org/10.4028/www.scientific.net/amr.267.757.
Pełny tekst źródłaALTUN, A. ALPASLAN, H. ERDINC KOCER i NOVRUZ ALLAHVERDI. "GENETIC ALGORITHM BASED FEATURE SELECTION LEVEL FUSION USING FINGERPRINT AND IRIS BIOMETRICS". International Journal of Pattern Recognition and Artificial Intelligence 22, nr 03 (maj 2008): 585–600. http://dx.doi.org/10.1142/s0218001408006351.
Pełny tekst źródłaUmar, Muhammad, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Manoj Gupta i Yolanda Guerrero Sánchez. "A Stochastic Intelligent Computing with Neuro-Evolution Heuristics for Nonlinear SITR System of Novel COVID-19 Dynamics". Symmetry 12, nr 10 (2.10.2020): 1628. http://dx.doi.org/10.3390/sym12101628.
Pełny tekst źródłaDiez, Francisco J., Ouiam F. Boukharta, Luis M. Navas-Gracia, Leticia Chico-Santamarta, Andrés Martínez-Rodríguez i 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, nr 20 (13.10.2022): 7772. http://dx.doi.org/10.3390/s22207772.
Pełny tekst źródłaOsofisan, P. B., i 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 (październik 2011): 133–41. http://dx.doi.org/10.4028/www.scientific.net/amr.367.133.
Pełny tekst źródłaGašperlin, M., F. Podlogar i R. Šibanc. "Evolutionary Artificial Neural Networks as Tools for Predicting the Internal Structure of Microemulsions". Journal of Pharmacy & Pharmaceutical Sciences 11, nr 1 (24.03.2008): 67. http://dx.doi.org/10.18433/j3f594.
Pełny tekst źródłaIliadis, Lazaros, Shawn D. Mansfield, Stavros Avramidis i Yousry A. El-Kassaby. "Predicting Douglas-fir wood density by artificial neural networks (ANN) based on progeny testing information". Holzforschung 67, nr 7 (1.10.2013): 771–77. http://dx.doi.org/10.1515/hf-2012-0132.
Pełny tekst źródłaJiménez-Macías, Emilio, Angel Sánchez-Roca, Hipólito Carvajal-Fals, Julio Blanco-Fernández i 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.
Pełny tekst źródłaELRAGAL, HASSAN M. "IMPROVING NEURAL NETWORKS PREDICTION ACCURACY USING PARTICLE SWARM OPTIMIZATION COMBINER". International Journal of Neural Systems 19, nr 05 (październik 2009): 387–93. http://dx.doi.org/10.1142/s0129065709002099.
Pełny tekst źródłaGoodacre, Royston. "Use of Pyrolysis Mass Spectrometry with Supervised Learning for the Assessment of the Adulteration of Milk of Different Species". Applied Spectroscopy 51, nr 8 (sierpień 1997): 1144–53. http://dx.doi.org/10.1366/0003702971941665.
Pełny tekst źródłaÖzdoğan, Hasan, Yiğit Ali Üncü, Mert Şekerci i 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, nr 23 (30.07.2021): 2150168. http://dx.doi.org/10.1142/s0217732321501686.
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