Výsledky vyhľadávania - "feed forward backpropagation algorithm"

Forecasting Electricity Consumption in Riau Province Using the Artificial Neural Network (ANN) Feed Forward Backpropagation Algorithm for the 2024-2027

Autori: null Tengku Reza Suka Alaqsa null Zulfatri Aini null Liliana a ďalší

Zdroj: Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics. 7:41-54

FORECASTING ELECTRICITY CONSUMPTION IN RIAU PROVINCE USING THE ARTIFICIAL NEURAL NETWORK (ANN) FEED FORWARD BACKPROPAGATION ALGORITHM FOR THE 2024-2027

Autori: TENGKU REZA SUKA ALAQSA, -

Predmety: 000 Karya Umum

Popis súboru: text

Relation: http://repository.uin-suska.ac.id/87288/1/JURNAL%20FULL.pdf; TENGKU REZA SUKA ALAQSA, - (2025) FORECASTING ELECTRICITY CONSUMPTION IN RIAU PROVINCE USING THE ARTIFICIAL NEURAL NETWORK (ANN) FEED FORWARD BACKPROPAGATION ALGORITHM FOR THE 2024-2027. Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics, 7 (1). ISSN 2656-8624

Dostupnosť: http://repository.uin-suska.ac.id/87288/
https://ijeeemi.org/index.php/ijeeemi

MODELLING REFERENCE EVAPOTRANSPIRATION USING FEED FORWARD BACKPROPAGATION ALGORITHM IN ARID REGIONS OF AFRICA

Autori: Jan-Mou Leu Yu-Min Wang Seydou Traore a ďalší

Zdroj: Irrigation and Drainage. 60:404-417

Predmety: 2. Zero hunger, 13. Climate action, 0208 environmental biotechnology, 0207 environmental engineering, 02 engineering and technology, 15. Life on land, 6. Clean water

Prístupová URL adresa: https://researchoutput.ncku.edu.tw/zh/publications/modelling-reference-evapotranspiration-using-feed-forward-backpro
https://www.onlinelibrary.wiley.com/doi/abs/10.1002/ird.589

Enhancing riverine load prediction of anthropogenic pollutants: Harnessing the potential of feed-forward backpropagation (FFBP) artificial neural network (ANN) models

Autori: Khairunnisa Khairudin Ahmad Zia Ul-Saufie Syahrul Fithry Senin a ďalší

Zdroj: Results in Engineering, Vol 22, Iss , Pp 102072- (2024)

Predmety: Riverine load, Artificial neural network (ANN), Feed-forward backpropagation algorithm, Radial basis neural network, Multiple linear regression, Technology

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123024003268; https://doaj.org/toc/2590-1230

Prístupová URL adresa: https://doaj.org/article/d156e8e40646443e9b5ef7cba39115f0

Prediction of Free Swell Index for the Expansive Soil Using Artificial Neural Networks

Autori: Rakesh Dutta Ajay Singh Tammineni Gnananandarao

Zdroj: Journal of Soft Computing in Civil Engineering, Vol 3, Iss 1, Pp 47-62 (2019)

Predmety: plasticity index, shrinkage index, free swell index, expansive soil, feed forward backpropagation algorithm, an artificial neural network, multiple regression analysis, Technology

Popis súboru: electronic resource

Relation: http://www.jsoftcivil.com/article_82862_5c5cad20e47e388e6984e5a95cdeb4c2.pdf; https://doaj.org/toc/2588-2872

Prístupová URL adresa: https://doaj.org/article/6e38e041b8134b038a7f03b3baa54853

Prediction of Ultimate Bearing Capacity of Skirted Footing Resting on Sand Using Artificial Neural Networks

Autori: Rakesh Dutta Radha Rani Tammineni Gnananandarao

Zdroj: Journal of Soft Computing in Civil Engineering, Vol 2, Iss 4, Pp 34-46 (2018)

Predmety: different regular shaped skirted footings, ultimate bearing capacity, feed forward backpropagation algorithm, artificial neural network, multiple regression analysis, Technology

Popis súboru: electronic resource

Relation: http://www.jsoftcivil.com/article_64822_efcae088311ca94643b268a98282374c.pdf; https://doaj.org/toc/2588-2872

Prístupová URL adresa: https://doaj.org/article/32224fa69f124b91bba9ac9aca961564

Prediction of Nephrolithiasis Based on Extracted Features of Ct-Scan Images using Artificial Neural Networks

Autori: Sumana, G Babu, Prof.G.Anjan

Zdroj: International Journal of Advanced Research in Computer Science; Vol. 8 No. 5 (2017): May-June 2017; 1700-1708 ; 0976-5697 ; 10.26483/ijarcs.v8i5

Predmety: Nephrolithiasis, CT-scan, pre-processing, Artificial Neural networks, Feed-Forward Backpropagation algorithm, GLCM algorithm

Popis súboru: application/pdf

Relation: http://www.ijarcs.info/index.php/Ijarcs/article/view/3485/3600; http://www.ijarcs.info/index.php/Ijarcs/article/view/3485

Dostupnosť: http://www.ijarcs.info/index.php/Ijarcs/article/view/3485
https://doi.org/10.26483/ijarcs.v8i5.3485

A genetic-neural optimization approach for friction stir spot welding of semi-solid metal Aluminum Alloy 5083.

Autori: Nakowong, Konkrai Suwannasopa, Duenrung Kaewchalun, Apisit a ďalší

Zdroj: Engineering & Applied Science Research; Sep/Oct2025, Vol. 52 Issue 5, p541-550, 10p

Predmety: FRICTION stir welding, GENETIC algorithms, MECHANICAL behavior of materials, ARTIFICIAL neural networks, SEMIMETALS, ALUMINUM alloys, MATHEMATICAL optimization

MODELLING REFERENCE EVAPOTRANSPIRATION USING FEED FORWARD BACKPROPAGATION ALGORITHM IN ARID REGIONS OF AFRICA.

Autori: Wang, Yu-Min Traore, Seydou Kerh, Tienfuan a ďalší

Zdroj: Irrigation & Drainage; Jul2011, Vol. 60 Issue 3, p404-417, 14p

Artificial neural network and mathematical modeling on the drying kinetics of Costus pictus rhizomes and its impact on the polyphenol, flavonoid content and antioxidant activity.

Autori: Selvakumarasamy, Saranya Rengaraju, Balakrishnaraja Kulathooran, Ramalakshmi a ďalší

Zdroj: Biomass Conversion & Biorefinery; Jan2025, Vol. 15 Issue 2, p2537-2555, 19p

Prediction of Marketing Live Weights in Hair Goat Kids Using Artificial Neural Network.

Alternate Title: Kıl Keçisi Oğlaklarında Pazarlama Canlı Ağırlığının Yapay Sinir Ağları Kullanılarak Tahminlenmesi.

Autori: ERDOĞAN ATAÇ, Funda TAKMA, Çiğdem GEVREKÇİ, Yakut a ďalší

Zdroj: Kafkas Üniversitesi Veteriner Fakültesi Dergisi. Nov/Dec2022, Vol. 28 Issue 6, p739-746. 8p.

Predmet: Goats, Artificial neural networks, Maternal age, Birth weight, Animal weaning, Regression analysis, Multilayer perceptrons

Geografický termín: Turkey

Predicting the passive control of fluid forces over circular cylinder in a time dependent flow using neuro-computing.

Autori: Asghar, Atif Mahmood, Rashid Majeed, Afraz Hussain a ďalší

Zdroj: AIP Advances; Dec2024, Vol. 14 Issue 12, p1-11, 11p

Predmety: COMPUTATIONAL fluid dynamics, ARTIFICIAL neural networks, FLUID control, DRAG coefficient, LIFT (Aerodynamics)

Levenberg–Marquardt neural network analysis of entropy optimization on MHD nanofluid convective flow with nonlinear thermal radiation and Cattaneo–Christov heat and mass fluxes: a comparative study.

Autori: Priya, M. Bala Anki Reddy, P.

Zdroj: Neural Computing & Applications. Jul2025, Vol. 37 Issue 20, p15761-15791. 31p.

Predmety: *ARTIFICIAL neural networks, *COMPARATIVE studies, *MARQUARDT algorithm, *MAGNETIC fluids, *RADIATIVE transfer, *HEAT flux, *MAXIMUM entropy method, *CONVECTIVE flow

A multi-collaborative technique for assessing the reservoir sedimentation with futuristic capacity prediction using ANN model.

Autori: Mishra, Kartikeya Tiwari, H. L.

Zdroj: Environmental Earth Sciences; 7/15/2024, Vol. 83 Issue 14, p1-12, 12p

Predmety: SEDIMENTATION analysis, ARTIFICIAL neural networks, RESERVOIR sedimentation, SEDIMENTATION & deposition, GEOGRAPHIC information systems

Phytoremediation of nitrogen and phosphorus pollutants from glass industry effluent by using water hyacinth (Eichhornia crassipes (Mart.) Solms): Application of RSM and ANN techniques for experimental optimization.

Autori: Singh, Jogendra Kumar, Pankaj Eid, Ebrahem M. a ďalší

Zdroj: Environmental Science & Pollution Research; Feb2023, Vol. 30 Issue 8, p20590-20600, 11p

Predmety: WATER hyacinth, GLASS industry, POLLUTANTS, PHYTOREMEDIATION, ARTIFICIAL neural networks, WATER use

Comparing the Predictability of Soft Computing and Statistical Techniques for the Prediction of Tensile Strength of Additively Manufactured Carbon Fiber Polylactic Acid Parts.

Autori: Raj, Abhishek Tyagi, Bobby Goyal, Ashish a ďalší

Zdroj: Journal of Materials Engineering & Performance; Nov2024, Vol. 33 Issue 22, p12729-12741, 13p

Predmety: ARTIFICIAL neural networks, FUSED deposition modeling, CARBON fibers, ARTIFICIAL intelligence, SOFT computing, POLYLACTIC acid

Comparison between traditional models and artificial neural networks as estimators of the growth of the Tigris scraper Capoeta umbla (Teleostei: Cyprinidae) in the Munzur River, Turkey.

Alternate Title: Comparación entre modelos tradicionales y redes neuronales artificiales como estimadores del crecimiento del raspador del Tigris Capoeta umbla (Teleostei: Cyprinidae) en el río Munzur, Turquía.

Autori: Ozcan, Ebru Ifakat Serdar, Osman

Zdroj: Revista Cientifica de la Facultade de Veterinaria. 2025, Vol. 35 Issue 1, p1-9. 9p.

An Empirical Study of Passengers' Perceived Satisfaction with Monorail Service Quality: Case of Kuala Lumpur, Malaysia.

Autori: Ibrahim, Ahmad Nazrul Hakimi Borhan, Muhamad Nazri Osman, Mohd Haniff a ďalší

Zdroj: Sustainability (2071-1050); Jun2022, Vol. 14 Issue 11, p6496-6496, 17p

Estimating the State of Health of Lead-Acid Battery Using Feed-Forward Neural Network.

Autori: Selvabharathi, D. Muruganantham, N.

Zdroj: Journal of Circuits, Systems & Computers; 2022, Vol. 31 Issue 5, p1-19, 19p

Predmety: LEAD-acid batteries, OPEN-circuit voltage, BATTERY management systems, ARTIFICIAL neural networks, TEMPERATURE measurements

UYGUN NORMALİZASYON TEKNİĞİ VE YAPAY SİNİR AĞLARI ANALİZİ ile OTOMOBİL SATIŞ TAHMİNLEMESİ. (Turkish)

Alternate Title: APPROPRIATE NORMALIZATION TECHNIQUE AND ARTIFICIAL NEURAL NETWORK ANALYSIS FOR AUTOMOBILE SALES FORECAST. (English)

Autori: HAN, Gökçe SÖNMEZ, Eyüp Firat AVCI, Selen a ďalší

Zdroj: Journal of Business Economics & Management Research; 2022, Vol. 5 Issue 1, p19-46, 28p