Suchergebnisse - Feed-forward backpropagation algorithm

  1. 1

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

    ISSN: 2656-8624, 2656-8624
    Veröffentlicht: 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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    MODELLING REFERENCE EVAPOTRANSPIRATION USING FEED FORWARD BACKPROPAGATION ALGORITHM IN ARID REGIONS OF AFRICA von Wang, Yu-Min, Traore, Seydou, Kerh, Tienfuan, Leu, Jan-Mou

    ISSN: 1531-0353, 1531-0361, 1531-0361
    Veröffentlicht: Chichester, UK John Wiley & Sons, Ltd 01.07.2011
    Veröffentlicht 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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    Enhancing riverine load prediction of anthropogenic pollutants: Harnessing the potential of feed-forward backpropagation (FFBP) artificial neural network (ANN) models von Khairudin, Khairunnisa, Ul-Saufie, Ahmad Zia, Senin, Syahrul Fithry, Zainudin, Zaki, Rashid, Ammar Mohd, Abu Bakar, Noor Fitrah, Anas Abd Wahid, Muhammad Zakwan, Azha, Syahida Farhan, Abd-Wahab, Firdaus, Wang, Lei, Sahar, Farisha Nerina, Osman, Mohamed Syazwan

    ISSN: 2590-1230, 2590-1230
    Veröffentlicht: Elsevier B.V 01.06.2024
    Veröffentlicht in Results in engineering (01.06.2024)
    “… Among the mathematical modelling methods employed are artificial neural networks with feed-forward backpropagation algorithms and radial basis functions …”
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    ANN Model for Designing Stub Microstrip LowPass Filters von Kushwah, Vivek Singh, Charyulu, M.L.N., Tomar, Geetam Singh

    ISSN: 2473-5655
    Veröffentlicht: 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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    Prediction of Free Swell Index for the Expansive Soil Using Artificial Neural Networks von Rakesh Dutta, Ajay Singh, Tammineni Gnananandarao

    ISSN: 2588-2872, 2588-2872
    Veröffentlicht: Pouyan Press 01.12.2019
    Veröffentlicht in Journal of soft computing in civil engineering (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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    Prediction of Ultimate Bearing Capacity of Skirted Footing Resting on Sand Using Artificial Neural Networks von Rakesh Dutta, Radha Rani, Tammineni Gnananandarao

    ISSN: 2588-2872, 2588-2872
    Veröffentlicht: Pouyan Press 01.10.2018
    Veröffentlicht in Journal of soft computing in civil engineering (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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    Predicting the Selling Price of Cars Using Business Intelligence with the Feed-forward Backpropagation Algorithms von Idris, Nur Oktavin, Achban, Aspian, Utiarahman, Siti Andini, Karim, Jorry, Pontoiyo, Fuad

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

    ISSN: 2352-152X, 2352-1538
    Veröffentlicht: Elsevier Ltd 30.05.2024
    Veröffentlicht 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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    Efficient training of two ANNs using four meta-heuristic algorithms for predicting the FRP strength von Kaveh, Ali, Khavaninzadeh, Neda

    ISSN: 2352-0124, 2352-0124
    Veröffentlicht: Elsevier Ltd 01.06.2023
    Veröffentlicht 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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  10. 10

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

    ISSN: 0378-3774, 1873-2283
    Veröffentlicht: Amsterdam Elsevier B.V 01.05.2010
    Veröffentlicht 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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    Estimation of Electrical Characteristics and Maximum Power Point of Photovoltaic Panel von Yılmaz, Ünal, Türksoy, Ömer, İbrikçi, Turgay, Teke, Ahmet

    ISSN: 1112-5209
    Veröffentlicht: Paris Engineering and Scientific Research Groups 01.06.2017
    Veröffentlicht 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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    Stochastic weight update in the backpropagation algorithm on feed-forward neural networks von Koščak, J, Jakša, R, Sinčák, P

    ISBN: 9781424469161, 1424469163
    ISSN: 2161-4393
    Veröffentlicht: IEEE 01.07.2010
    “… We will examine stochastic weight update in the backpropagation algorithm on feed-forward neural networks …”
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    Optimized Hybrid CNN Framework for Enhanced Tumor Classification in Breast Cancer Diagnosis von Batool, Shumaila, Zainab, Saima, Usman, Muhammad, Pu, Juhua

    ISSN: 0899-9457, 1098-1098
    Veröffentlicht: 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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    Macrocell Path-Loss Prediction Using Artificial Neural Networks von Ostlin, E, Zepernick, H, Suzuki, H

    ISSN: 0018-9545, 1939-9359, 1939-9359
    Veröffentlicht: New York IEEE 01.07.2010
    Veröffentlicht 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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    Prediction capabilities of mathematical models in producing a renewable fuel from waste cooking oil for sustainable energy and clean environment von Avinash, A., Murugesan, A.

    ISSN: 0016-2361, 1873-7153
    Veröffentlicht: Kidlington Elsevier Ltd 15.03.2018
    Veröffentlicht 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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    Generalized net model for parallel optimization of feed-forward neural network with variable learning rate backpropagation algorithm von Atanassov, K., Krawczak, M., Sotirov, S.

    ISBN: 9781424417391, 1424417392
    ISSN: 1541-1672
    Veröffentlicht: 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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    Verification study on how macrofungal fruitbody formation can be predicted by artificial neural network von Somfalvi-Tóth, Katalin, Jócsák, Ildikó, Pál-Fám, Ferenc

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 02.01.2024
    Veröffentlicht 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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    Enhancing performance of the backpropagation algorithm via sparse response regularization von Zhang, Jiangshe, Ji, Nannan, Liu, Junmin, Pan, Jiyuan, Meng, Deyu

    ISSN: 0925-2312, 1872-8286
    Veröffentlicht: Elsevier B.V 04.04.2015
    Veröffentlicht 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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    Optimization of neural-network model using a meta-heuristic algorithm for the estimation of dynamic Poisson’s ratio of selected rock types von Waqas, Umer, Ahmed, Muhammad Farooq, Rashid, Hafiz Muhammad Awais, Al-Atroush, Mohamed Ezzat

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 08.07.2023
    Veröffentlicht 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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    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 von 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
    Veröffentlicht: 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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