المؤلفون: Gelsomina Manganiello, Nicola Nicastro, Luciano Ortenzi, Federico Pallottino, Corrado Costa, Catello Pane

المصدر: Agriculture, Vol 14, Iss 2, p 307 (2024)

مصطلحات موضوعية: digital agriculture, DSS, Fusarium oxysporum f. sp. lactucae, machine learning, multilayer feed forward artificial neural networks, precision biological control, Agriculture (General), S1-972

Relation: https://www.mdpi.com/2077-0472/14/2/307; https://doaj.org/toc/2077-0472; https://doaj.org/article/f13890bcdd164c75acfe84264ab0278d

الاتاحة: https://doi.org/10.3390/agriculture14020307
https://doaj.org/article/f13890bcdd164c75acfe84264ab0278d

المؤلفون: Amal Abo El-Magd, Shaimaa M. Baraka, Samir F.M. Eid

المصدر: Journal of Water and Land Development, Iss No 57, Pp 1-8 (2023)

مصطلحات موضوعية: climate data, eto calculator, feed-forward artificial neural networks, penman–monteith method, reference evaporation, root mean squared error, River, lake, and water-supply engineering (General), TC401-506, Irrigation engineering. Reclamation of wasteland. Drainage, TC801-978

وصف الملف: electronic resource

Relation: https://journals.pan.pl/Content/127178/PDF/2023-02-JWLD-01.pdf; https://doaj.org/toc/2083-4535

URL الوصول: https://doaj.org/article/2aac4df4e0844e6ab436480c290c443f

المؤلفون: Ali Jebelli, Arezoo Mahabadi, Mohammad Saeid Zare, Rafiq Ahmad

المصدر: Water-Energy Nexus, Vol 5, Iss , Pp 39-49 (2022)

مصطلحات موضوعية: Open channel, Computational Fluid Dynamics (CFD), Multi-Layer Feed-Forward Artificial Neural Networks (MLFF-ANNs), Ansys Fluent, Re Normalization Group (RNG), River, lake, and water-supply engineering (General), TC401-506, Water supply for domestic and industrial purposes, TD201-500, Energy industries. Energy policy. Fuel trade, HD9502-9502.5

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2588912522000042; https://doaj.org/toc/2588-9125

URL الوصول: https://doaj.org/article/6db9966488f34d53a172e9cd91c7da52

المؤلفون: Tallón Ballesteros, Antonio Javier, Riquelme Santos, José Cristóbal, Ruiz Sánchez, Roberto

المساهمون: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos, Comisión Interministerial de Ciencia y Tecnología (CICYT). España

مصطلحات موضوعية: Feed-forward artificial neural networks, Feature selection, Supervised machine learning, Feature subset selection, Computational intelligence, Semi-wrapper

Relation: Neurocomputing, 353, 28-44.; TIN2014-55894-C2-R; https://www.sciencedirect.com/science/article/pii/S0925231219303303?via%3Dihub; https://idus.us.es/handle//11441/145681

الاتاحة: https://idus.us.es/handle//11441/145681

المؤلفون: W. Waseem, Muhammad Sulaiman, Ahmad Alhindi, Hosam Alhakami

المصدر: IEEE Access, Vol 8, Pp 61576-61592 (2020)

مصطلحات موضوعية: Non-linear differential equations, meta-heuristics, soft computing, corneal shape model, feed-forward artificial neural networks, fractional order Darwinian particle swarm optimization, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9049399/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/24b9b12259c1497eb893a6d8aa83c855

المؤلفون: Sun, Minghe, Stam, Antonie, Steuer, Ralph E.

المصدر: Management Science, 1996 Jun 01. 42(6), 835-849.

URL الوصول: https://www.jstor.org/stable/2634598

المؤلفون: Anwar, Asifa

المساهمون: Katip, Aslıhan, Bursa Uludağ Üniversitesi/Fen Bilimleri Enstitüsü/Çevre Mühendisliği Anabilim Dalı., orcid:0000-0002-3317-2816

مصطلحات موضوعية: Doğancı Barajı, İleri beslemeli yapay sinir ağları, Eğitim algoritmaları, Meteorolojik parametreler, Su kalitesi, Su seviyesi, Doğancı Dam, Feed forward artificial neural networks, Training algorithms, Meteorological parameters, Water quality, Water level

وصف الملف: VII, 57 sayfa; application/pdf

Relation: Tez; Anwar, A. (2023). Doğancı Barajı’nda meteorolojik veriler ile su kalitesi ve su seviyesi arasındaki ilişkinin yapay sinir ağları ile modellenmesi. Yayınlanmamış yüksek lisans tezi. Bursa Uludağ Üniversitesi Fen Bilimleri Enstitüsü.; http://hdl.handle.net/11452/33685

الاتاحة: http://hdl.handle.net/11452/33685

المؤلفون: K.U. Sheba, S. Gladston Raj

المصدر: Cogent Engineering, Vol 5, Iss 1 (2018)

مصطلحات موضوعية: grey-level co-occurrence matrix, grey level run length matrix, otsu’s method, morphological open, feed forward artificial neural networks, global thresholding, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2331-1916

URL الوصول: https://doaj.org/article/683906b4574e4a7cb82fe28c87735aa0

المؤلفون: Sheba K.U, Gladston Raj S, Ramachandran D

المصدر: International Journal of Computer Science & Information Technology (IJCSIT), 10(02), 39-55, (2018-04-30)

مصطلحات موضوعية: Binary particle swarm optimization, Feed forward artificial neural networks, Feature selection, k-Nearest Neighbour

Relation: https://doi.org/10.5281/zenodo.1250359; https://doi.org/10.5281/zenodo.1250360; oai:zenodo.org:1250360

الاتاحة: https://doi.org/10.5281/zenodo.1250360

المؤلفون: Şaban Gülcü

المصدر: International Journal of Intelligent Systems and Applications in Engineering; Vol. 8 No. 3 (2020); 131-136

مصطلحات موضوعية: Structure (mathematical logic), Optimization problem, Artificial neural networks, Artificial neural network, Computer science, business.industry, Computer Science::Neural and Evolutionary Computation, states of matter search algorithm, Computer Graphics and Computer-Aided Design, Field (computer science), feed-forward artificial neural networks, Artificial Intelligence, Control and Systems Engineering, Search algorithm, training of artificial neural networks, Artificial intelligence, business, optimization, Complex problems, Information Systems

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a598415cade90b118415222afdef626e
https://doi.org/10.18201/ijisae.2020363532

المؤلفون: Kechagias J.D., Tsiolikas A., Petousis M., Ninikas K., Vidakis N., Tzounis L.

المصدر: Simulation Modelling Practice and Theory ; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115792458&doi=10.1016%2fj.simpat.2021.102414&partnerID=40&md5=2428e077dd8d6899c82e8077d7037300

مصطلحات موضوعية: Design of experiments, Feedforward neural networks, Laser beam cutting, Laser beams, Mean square error, Backpropagation artificial neural networks, Feed-forward artificial neural networks, Full factorial, Hidden layers, Laser cutting, Learning parameters, Performance optimizations, Quality, Taguchi, Taguchi design of experiment, Surface roughness, Elsevier B.V

Relation: http://hdl.handle.net/11615/74740

الاتاحة: http://hdl.handle.net/11615/74740
https://doi.org/10.1016/j.simpat.2021.102414

المؤلفون: Hosam Alhakami, Waseem Waseem, Muhammad Sulaiman, Ahmad Alhindi

المصدر: IEEE Access, Vol 8, Pp 61576-61592 (2020)

مصطلحات موضوعية: Soft computing, Non-linear differential equations, General Computer Science, Artificial neural network, Differential equation, Computer science, 020209 energy, fractional order Darwinian particle swarm optimization, General Engineering, Ode, soft computing, 02 engineering and technology, 01 natural sciences, 010305 fluids & plasmas, feed-forward artificial neural networks, Robustness (computer science), meta-heuristics, Ordinary differential equation, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, lcsh:Electrical engineering. Electronics. Nuclear engineering, corneal shape model, Algorithm, lcsh:TK1-9971

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ffeb9e6c921fb76c10d1601ecdcf5ce
https://ieeexplore.ieee.org/document/9049399/

المؤلفون: CİNEL, Emek Aslı, YOLCU, Ufuk

المصدر: Volume: 16, Issue: 62 492-508
Yaşar Üniversitesi E-Dergisi

مصطلحات موضوعية: Monthly Unemployment Rate,Age Groups,Labor Market,Feed-Forward Artificial Neural Networks,Feed-Back Artificial Neural Networks, Social, Aylık İşsizlik Oranı,Yaş Grupları,İşgücü Piyasası,İleri Beslemeli Yapay Sinir Ağları,Geri Beslemeli Yapay Sinir Ağları, Sosyal

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=tubitakulakb::f109626069561eb348d415b9005a51e5
https://dergipark.org.tr/tr/pub/jyasar/issue/62555/848091

المؤلفون: Tallón Ballesteros, Antonio Javier, Riquelme Santos, José Cristóbal, Ruiz Sánchez, Roberto

المساهمون: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos, Comisión Interministerial de Ciencia y Tecnología (CICYT). España

مصطلحات موضوعية: Feed-forward artificial neural networks, Computational intelligence, Feature selection, Semi-wrapper, Supervised machine learning, Feature subset selection

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______3272::9dcba6c0456044d2be632a8357907b4e

المؤلفون: Susagna Holgado, Marc

المساهمون: Puig Oriol, Xavier, Torra Porras, Salvador, Universitat de Barcelona. Departament d'Econometria, Estadística i Economia Espanyola, Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa

المصدر: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Dipòsit Digital de la UB
Universidad de Barcelona

مصطلحات موضوعية: Feed-forward Bayesian Neural Networks (BNN), 68T10, Estadística, Peer-to-peer online marketplaces (P2P OM), Xarxes Neuronals Artificials Directes (ANN), 62J05, 62G09, Aprenentatge automàtic, Machine learning, Pricing models, Microeconomics, 62K20, Bachelor's thesis, 62F40, Bachelor's theses, Statistics, Artificial Neural Networks (ANN), Markov Chain Monte Carlo (MCMC) for Bayesian Inference, Matemàtiques i estadística [Àrees temàtiques de la UPC], Design of Experiments (DoE), Instruments financers, Treballs de fi de grau, Financial instruments, Bootstrap and resampling methods, Feed-forward Artificial Neural Networks (ANN), 62F15

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f7880d3d1af2340a0f6e227c2a3266e7
http://hdl.handle.net/2117/126028

المؤلفون: Açıkkar, Mustafa

المساهمون: Akay, M. Fatih, Çukurova Üniversitesi, Fen Bilimleri Enstitüsü, Elektrik-Elektronik Mühendisliği Anabilim Dalı

مصطلحات موضوعية: Destek Vektör Makineleri, Çok Katmanlı İleri Beslemeli Yapay Sinir Ağları, Maksimal Oksijen Tüketimi, Support Vector Machines, Multi-Layer Feed-Forward Artificial Neural Networks, Maximal Oxygen Uptake

Relation: Tez; Açıkkar, Mustafa. (2015). Developing VO2max prediction models from non-exercise, submaximal exercise and hybrid tests using machine learning methods. (Yayınlanmamış doktora tezi). Çukurova Üniversitesi, Fen Bilimleri Enstitüsü, Elektrik-Elektronik Mühendisliği Anabilim Dalı, Adana.; http://library.cu.edu.tr/tezler/10112.pdf; https://hdl.handle.net/20.500.12605/33387

الاتاحة: https://hdl.handle.net/20.500.12605/33387
http://library.cu.edu.tr/tezler/10112.pdf

المؤلفون: Antonie Stam, Minghe Sun, Ralph E. Steuer

المصدر: Management Science. 42:835-849

مصطلحات موضوعية: multiple objective programming, feed-forward artificial neural networks, multiple criteria decision making, analytic hierarchy process, interactive procedures, Mathematical optimization, Optimization problem, Artificial neural network, Computer science, business.industry, Strategy and Management, Feed forward, Analytic hierarchy process, Sample (statistics), Management Science and Operations Research, Set (abstract data type), Pairwise comparison, Artificial intelligence, business, Preference (economics)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7a8cd2cf86842e76bb8a01b762a435c
https://doi.org/10.1287/mnsc.42.6.835

المؤلفون: Pekmezci, Mehmet

المساهمون: Akman, Ali, Maltepe Üniversitesi, Fen Bilimleri Enstitüsü, Pekmezci, Mehmet, Bilgisayar Mühendisliği Ana Bilim Dalı

مصطلحات موضوعية: İleri yönelimli yapay sinir ağları, Time series, Boltzmann Makinesi, Zaman serileri tahmini, Feed forward artificial neural networks, Time series prediction, Boltzmann Machine, Computer Engineering and Computer Science and Control, Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ce21db8d3855a793d454585300bbf1a7
https://hdl.handle.net/20.500.12415/4029

المؤلفون: MARINI, Federico, MAGRI', Antonio, BUCCI, Remo

المساهمون: Marini, Federico, Magri', Antonio, Bucci, Remo

مصطلحات موضوعية: pattern recognition, class-modeling, multilayer feed-forward artificial neural networks

وصف الملف: STAMPA

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000248247800013; volume:88; issue:1; firstpage:118; lastpage:124; numberofpages:7; journal:CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS; http://hdl.handle.net/11573/232838; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-34250619150; http://www.sciencedirect.com/science/article/pii/S0169743906001560

الاتاحة: http://hdl.handle.net/11573/232838
https://doi.org/10.1016/j.chemolab.2006.07.004
http://www.sciencedirect.com/science/article/pii/S0169743906001560

المؤلفون: Ayman H. El-Hag, Khaled Bashir Shaban, A. Matveev

مصطلحات موضوعية: Engineering, Transformer insulation aging, Artificial neural network, Transformer oil, business.industry, Distribution transformer, Backpropagation, law.invention, Cascade, law, Control theory, Megger test, Electronic engineering, Feedforward neural network, Multilayer feed forward artificial neural networks, Electrical and Electronic Engineering, Back-propagation learning algorithm, Transformer, business, Low voltage

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84176c7a98c1a638feef3ed8d045d169
https://hdl.handle.net/10576/37481