Search Results - Feed-forward backpropagation algorithm

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  1. 1

    Forecasting Electricity Consumption in Riau Province Using the Artificial Neural Network (ANN) Feed Forward Backpropagation Algorithm for the 2024-2027 by Tengku Reza Suka Alaqsa, Zulfatri Aini, Liliana, Nanda Putri Miefthawati

    ISSN: 2656-8624, 2656-8624
    Published: 24.02.2025
    “… This study addresses these challenges by using the Artificial Neural Network (ANN) Feed Forward Backpropagation method to forecast electricity demand from 2024 to 2027…”
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    Journal Article
  2. 2

    MODELLING REFERENCE EVAPOTRANSPIRATION USING FEED FORWARD BACKPROPAGATION ALGORITHM IN ARID REGIONS OF AFRICA by Wang, Yu-Min, Traore, Seydou, Kerh, Tienfuan, Leu, Jan-Mou

    ISSN: 1531-0353, 1531-0361, 1531-0361
    Published: Chichester, UK John Wiley & Sons, Ltd 01.07.2011
    Published in Irrigation and drainage (01.07.2011)
    “…) has been developed for Burkina Faso. In a new approach, this study explores in three production regions, Dori, Bogande and Fada N'Gourma, the potential of using the feed forward backpropagation (BP…”
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    Journal Article
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    ANN Model for Designing Stub Microstrip LowPass Filters by Kushwah, Vivek Singh, Charyulu, M.L.N., Tomar, Geetam Singh

    ISSN: 2473-5655
    Published: IEEE 06.04.2024
    “…Using neural network technology, the design technology of the stubbed microstrip low-pass filter is given. The required length of the microstrip filter is used…”
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    Conference Proceeding
  5. 5

    Prediction of Free Swell Index for the Expansive Soil Using Artificial Neural Networks by Rakesh Dutta, Ajay Singh, Tammineni Gnananandarao

    ISSN: 2588-2872, 2588-2872
    Published: Pouyan Press 01.12.2019
    “… Artificial neural network algorithm used a back propagation model. Training of the artificial neural network model was conducted on the data collected from literature…”
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    Journal Article
  6. 6

    Prediction of Ultimate Bearing Capacity of Skirted Footing Resting on Sand Using Artificial Neural Networks by Rakesh Dutta, Radha Rani, Tammineni Gnananandarao

    ISSN: 2588-2872, 2588-2872
    Published: Pouyan Press 01.10.2018
    “… The artificial neural network algorithm uses a back propagation model. The training of artificial neural network model has been conducted and the weights were obtained…”
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    Journal Article
  7. 7

    Predicting the Selling Price of Cars Using Business Intelligence with the Feed-forward Backpropagation Algorithms by Idris, Nur Oktavin, Achban, Aspian, Utiarahman, Siti Andini, Karim, Jorry, Pontoiyo, Fuad

    Published: IEEE 03.11.2020
    “…The automotive industry is increasingly competitive every year by releasing cars featured with innovative specifications offered by automotive manufacturing…”
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    Conference Proceeding
  8. 8

    A novel genetic weight-directed feed forward backpropagation neural network for state of charge estimation of lithium-ion batteries by Hai, Nan, Wang, Shunli, Liu, Donglei, Fernandez, Carlos, Guerrero, Josep M.

    ISSN: 2352-152X, 2352-1538
    Published: Elsevier Ltd 30.05.2024
    Published in Journal of energy storage (30.05.2024)
    “… Basically, a three-layer genetic algorithm based on feed forward backpropagation neural network model is established…”
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    Journal Article
  9. 9

    Efficient training of two ANNs using four meta-heuristic algorithms for predicting the FRP strength by Kaveh, Ali, Khavaninzadeh, Neda

    ISSN: 2352-0124, 2352-0124
    Published: Elsevier Ltd 01.06.2023
    Published in Structures (Oxford) (01.06.2023)
    “… different types of artificial neural network structure to optimize the parameters of the feed forward…”
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    Journal Article
  10. 10

    Artificial neural network for modeling reference evapotranspiration complex process in Sudano-Sahelian zone by Traore, Seydou, Wang, Yu-Min, Kerh, Tienfuan

    ISSN: 0378-3774, 1873-2283
    Published: Amsterdam Elsevier B.V 01.05.2010
    Published in Agricultural water management (01.05.2010)
    “…The major problem when dealing with modeling evapotranspiration process is its nonlinear dynamic high complexity. Researchers developed reference…”
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    Journal Article
  11. 11

    Estimation of Electrical Characteristics and Maximum Power Point of Photovoltaic Panel by Yılmaz, Ünal, Türksoy, Ömer, İbrikçi, Turgay, Teke, Ahmet

    ISSN: 1112-5209
    Published: Paris Engineering and Scientific Research Groups 01.06.2017
    Published in Journal of Electrical Systems (01.06.2017)
    “… of all parameters on system, ANN Cascade-forward backpropagation and feed-forward backpropagation…”
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    Journal Article
  12. 12

    Stochastic weight update in the backpropagation algorithm on feed-forward neural networks by Koščak, J, Jakša, R, Sinčák, P

    ISBN: 9781424469161, 1424469163
    ISSN: 2161-4393
    Published: IEEE 01.07.2010
    “…We will examine stochastic weight update in the backpropagation algorithm on feed-forward neural networks…”
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    Conference Proceeding
  13. 13

    Optimized Hybrid CNN Framework for Enhanced Tumor Classification in Breast Cancer Diagnosis by Batool, Shumaila, Zainab, Saima, Usman, Muhammad, Pu, Juhua

    ISSN: 0899-9457, 1098-1098
    Published: New York Wiley Subscription Services, Inc 01.11.2025
    “…‐forward and backpropagation have been implemented. The scaled conjugate algorithm is employed in the feed…”
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    Journal Article
  14. 14

    Macrocell Path-Loss Prediction Using Artificial Neural Networks by Ostlin, E, Zepernick, H, Suzuki, H

    ISSN: 0018-9545, 1939-9359, 1939-9359
    Published: New York IEEE 01.07.2010
    Published in IEEE transactions on vehicular technology (01.07.2010)
    “…) mobile network in rural Australia are used to train and evaluate the models. A simple neuron model and feed-forward networks with different numbers of hidden layers…”
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    Journal Article
  15. 15

    Prediction capabilities of mathematical models in producing a renewable fuel from waste cooking oil for sustainable energy and clean environment by Avinash, A., Murugesan, A.

    ISSN: 0016-2361, 1873-7153
    Published: Kidlington Elsevier Ltd 15.03.2018
    Published in Fuel (Guildford) (15.03.2018)
    “…[Display omitted] •Mathematical models were developed to optimize biodiesel yield from waste cooking oil.•Response surface methodology and artificial neural…”
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    Journal Article
  16. 16

    Generalized net model for parallel optimization of feed-forward neural network with variable learning rate backpropagation algorithm by Atanassov, K., Krawczak, M., Sotirov, S.

    ISBN: 9781424417391, 1424417392
    ISSN: 1541-1672
    Published: IEEE 01.09.2008
    “…The used generalized net will give us a possibility for parallel optimization of feed-forward neural network based on assigned training pairs with variable…”
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    Conference Proceeding
  17. 17

    Verification study on how macrofungal fruitbody formation can be predicted by artificial neural network by Somfalvi-Tóth, Katalin, Jócsák, Ildikó, Pál-Fám, Ferenc

    ISSN: 2045-2322, 2045-2322
    Published: London Nature Publishing Group UK 02.01.2024
    Published in Scientific reports (02.01.2024)
    “… The ANN was the commonly used algorithm for classification problems: feed-forward multilayer perceptrons with a backpropagation algorithm to estimate the binary…”
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    Journal Article
  18. 18

    Enhancing performance of the backpropagation algorithm via sparse response regularization by Zhang, Jiangshe, Ji, Nannan, Liu, Junmin, Pan, Jiyuan, Meng, Deyu

    ISSN: 0925-2312, 1872-8286
    Published: Elsevier B.V 04.04.2015
    Published in Neurocomputing (Amsterdam) (04.04.2015)
    “…The backpropagation (BP) algorithm is the most commonly utilized training strategy for a feed-forward artificial neural network (FFANN…”
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    Journal Article
  19. 19

    Optimization of neural-network model using a meta-heuristic algorithm for the estimation of dynamic Poisson’s ratio of selected rock types by Waqas, Umer, Ahmed, Muhammad Farooq, Rashid, Hafiz Muhammad Awais, Al-Atroush, Mohamed Ezzat

    ISSN: 2045-2322, 2045-2322
    Published: London Nature Publishing Group UK 08.07.2023
    Published in Scientific reports (08.07.2023)
    “…This research focuses on the predictive modeling between rocks' dynamic properties and the optimization of neural network models. For this purpose, the rocks'…”
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    Journal Article
  20. 20

    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 by Singh, Jogendra, Kumar, Pankaj, Eid, Ebrahem M., Taher, Mostafa A., El-Morsy, Mohamed H. E., Osman, Hanan E. M., Al-Bakre, Dhafer A., Kumar, Vinod

    ISSN: 1614-7499, 1614-7499
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2023
    “… A quadratic model of RSM and feed-forward backpropagation algorithm-based logistic model (input layer: 2 neurons, hidden layer…”
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    Journal Article