Search Results - "feed forward backpropagation algorithm"

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

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

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

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