Search Results - feed forward backpropagation algorithm

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

Authors: null Tengku Reza Suka Alaqsa null Zulfatri Aini null Liliana et al.

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

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

Authors: Khairunnisa Khairudin Ahmad Zia Ul-Saufie Syahrul Fithry Senin et al.

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/d156e8e40646443e9b5ef7cba39115f0

Predicting the Selling Price of Cars Using Business Intelligence with the Feed-forward Backpropagation Algorithms

Authors: Fuad Pontoiyo Aspian Achban Nur Oktavin Idris et al.

Source: 2020 Fifth International Conference on Informatics and Computing (ICIC). :1-6

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://xplorestaging.ieee.org/ielx7/9288361/9288512/09288594.pdf?arnumber=9288594
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9288594

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

Authors: TENGKU REZA SUKA ALAQSA, -

Subject Terms: 000 Karya Umum

File Description: 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

Availability: 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

Authors: Jan-Mou Leu Yu-Min Wang Seydou Traore et al.

Source: Irrigation and Drainage. 60:404-417

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

Access URL: 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

Feed-forward Neural Network Model Based on Back-propagation Algorithm for Voltage Prediction in Electric-Vehicle Batteries

Authors: Chang, Shuang-Yuan

Subject Terms: Computer science, backpropagation algorithm, electric vehicle, electric-vehicle battery, lithium-ion battery, neural network models, voltage prediction

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/4639x1pj
https://escholarship.org/content/qt4639x1pj/qt4639x1pj.pdf

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

Authors: Nakowong, Konkrai Suwannasopa, Duenrung Kaewchalun, Apisit et al.

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

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

Training feed-forward neural networks using the gradient descent method with the optimal stepsize

Authors: Gong, Liang Liu, Chengliang Li, Yanming et al.

Source: Journal of Computational Information Systems. 8(4):1359-1371

Subject Terms: Drift och underhållsteknik, Operation and Maintenance Engineering

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-8599
https://ltu.diva-portal.org/smash/get/diva2:981537/FULLTEXT01.pdf

Stock price prediction using multi-layer feed forward neural network

Authors: Ramani, Prakash Murarka, P.D.

Source: JIMS8I - International Journal of Information Communication and Computing Technology 1(1):1-3. 2013

Macrocell Path Loss Prediction Using Artificial Neural Networks

Authors: Ostlin, Erik Zepernick, Hans-Jürgen Suzuki, Hajime

Source: IEEE Transactions on Vehicular Technology. 59(6):2735-2747

Subject Terms: Okumura Hata model, Path loss prediction, Recommendation ITU-R P.1546, artificial neural network, backpropagation, feed-forward network, field strength measurements, point-to-area

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-7823
https://bth.diva-portal.org/smash/get/diva2:835485/FULLTEXT01.pdf

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

Authors: Rakesh Dutta Ajay Singh Tammineni Gnananandarao

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/6e38e041b8134b038a7f03b3baa54853

An Optimized Artificial Neural Network Structure to Predict Clay Sensitivity in a High Landslide Prone Area Using Piezocone Penetration Test (CPTu) Data: A Case Study in Southwest of Sweden

Authors: Abbaszadeh Shahri, Abbas

Source: Geotechnical and Geological Engineering. :1-14

Subject Terms: Artificial neural network model, Clay sensitivity, Landslide, Piezocone penetration test, Backpropagation, Backpropagation algorithms, Forecasting, Geotechnical engineering, Landslides, Neural networks, Optimization, Regression analysis, Soil testing, Artificial neural network modeling, Conjugate gradient descents, Feed-forward back-propagation neural networks, Laboratory investigations, Landslide-prone areas, Piezocone penetration tests, Site characterization, Sensitivity analysis

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188334

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

Authors: Rakesh Dutta Radha Rani Tammineni Gnananandarao

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/32224fa69f124b91bba9ac9aca961564

Estimation of Electrical Characteristics and Maximum Power Point of Photovoltaic Panel

Authors: Yılmaz, Ünal Türksoy, Ömer İbrikçi, Turgay et al.

Contributors: Yılmaz, Ünal Türksoy, Ömer İbrikçi, Turgay et al.

Subject Terms: PV panel, MPP, ANN, Cascade-forward backpropagation, Feed-forward Backpropagation, Engineering, Electrical & Electronic, Compressive strength | Concretes | Concrete compressive, Neural-Networks, Model, Performance, Parameters, Algorithm, Cascade, Backpropagation, Energy efficiency, MATLAB, Neural networks, Photovoltaic cells, Software testing, Electrical characteristic, Environmental conditions, Feedforward backpropagation, Improved structures, Maximum power point, Photovoltaic panels, Variable environment, Backpropagation algorithms

File Description: application/pdf

Relation: Journal of Electrical Systems; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; Web of Science Core Collection - Emerging Sources Citation Index; Web of Science - Scopus; https://hdl.handle.net/20.500.12508/761; 13; 255; 265

Availability: https://hdl.handle.net/20.500.12508/761

Estimation of Electrical Characteristics and Maximum Power Point of Photovoltaic Panel

Authors: Yilmaz Ü. Türksoy Ö. Ibrikçi T. et al.

Contributors: Yilmaz Ü. Türksoy Ö. Ibrikçi T. et al.

Subject Terms: MPP, MATLAB, Maximum power point, Performance, Backpropagation, Software testing, Variable environment, Cascade-forward backpropagation, Engineering, Photovoltaic panels, Environmental conditions, Feedforward backpropagation, Improved structures, Backpropagation algorithms, Electrical characteristic, Photovoltaic cells, Feed-forward Backpropagation, PV panel, Compressive strength | Concretes | Concrete compressive, Algorithm, Neural-Networks, Energy efficiency, Parameters, Cascade, Electrical & Electronic, ANN, Neural networks, Model

File Description: application/pdf

Access URL: https://hdl.handle.net/20.500.12508/761
https://hdl.handle.net/20.500.12508/504
https://hdl.handle.net/20.500.12605/14685

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

Authors: Selvabharathi, D. Muruganantham, N.

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

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

Backpropagation neural ensemble for localizing and recognizing non-standardized Malaysia's car plates

Contributors: On, CK Yau, TK Alfred, R et al.

Source: On et al. (2016). Backpropagation neural ensemble for localizing and recognizing non-standardized Malaysia's car plates. International Journal on Advanced Science, Engineering and Information Technology, 6(6), 1112-1119. doi:10.18517/ijaseit.6.6.1488

File Description: pp.1112-1119

Relation: The original publication is available from INSIGHT - Indonesian Society for Knowledge and Human Development - https://doi.org/10.18517/ijaseit.6.6.1488 - https://doi.org/10.18517/ijaseit.6.6.1488; International Journal on Advanced Science, Engineering and Information Technology

Availability: http://api.digitalnz.org/records/38980394/source

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

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

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

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

File Description: application/pdf

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

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

A novel metaheuristic population algorithm for optimising the connection weights of neural networks

Authors: Seyed Jalaleddin, Mousavirad Schaefer, Gerald Rezaee, Khosro et al.

Source: Evolving Systems. 16(1)

Subject Terms: Neural networks, Differential evolution, Clustering, Opposite-direction strategy, Classification problems, Approximation problems

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-53352
https://doi.org/10.1007/s12530-024-09641-1

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.

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

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

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