Search Results - feed-forward ((((propagation algorithm) OR (selection algorithm))) OR (detection algorithm))

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  1. 1
    Early detection of dengue disease using extreme learning machine

    Early detection of dengue disease using extreme learning machine by Suhaeri, Suhaeri, Mohd Nawi, Nazri, Fathurahman, Muhamad

    Published 2018
    “…Therefore, the proposed ELM model can be considered as an alternative algorithm to apply for early detection of Dengue disease.…”
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  2. 2
    Process fault detection and diagnosis using Boolean representation on fatty acid fractionation column

    Process fault detection and diagnosis using Boolean representation on fatty acid fractionation column by Othman, M. R., Ali, Mohamad Wijayanuddin, Kamsah, Mohd. Zaki

    Published 2003
    “…The topology of the ANN model was founded on multilayer feed forward network architecture and the training scheme conducted using back propagation algorithm. …”
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  3. 3
    Early tube leak detection system for steam boiler at KEV power plant

    Early tube leak detection system for steam boiler at KEV power plant by Ismail F.B., Singh D., Maisurah N., Musa A.B.B.

    Published 2023
    “…Backpropagation; Coal; Coal fired boilers; Engineering research; Engines; Fault detection; Fossil fuel power plants; Leak detection; Neural networks; Plant shutdowns; Steam power plants; Artificial neural network models; Coal-fired power plant; Feed-forward back propagation networks; Hidden layers; Neural network (nn); Training algorithms; Training function; Working properties; Boilers…”
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  4. 4
    Removal of heavy metals from water by functionalized carbon nanotubes with deep eutectic solvents: An artificial neural network approach / Seef Saadi Fiyadh

    Removal of heavy metals from water by functionalized carbon nanotubes with deep eutectic solvents: An artificial neural network approach / Seef Saadi Fiyadh by Seef Saadi , Fiyadh

    Published 2019
    “…The best result achieved for Pb2+ removal using ANFIS algorithm is with RE 7.078%. For As3+ removal using different adsorbents, two algorithms were applied for the modelling, the feed-forward back-propagation maximum RE achieved is 5.97% while, the NARX algorithm achieved better accuracy with maximum RE of 5.79%. …”
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  5. 5
    CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING

    CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING by ISLAM, BADAR UL ISLAM

    Published 2017
    “…ANN based STLF models commonly use back-propagation algorithm, which generally exhibits a slow and improper convergence that affects the forecast accuracy. …”
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  6. 6
    Process fault detection using hierarchical artificial neural network diagnostic strategy

    Process fault detection using hierarchical artificial neural network diagnostic strategy by Othman, Mahamad Rizza, Ali, Mohamad Wijayanuddin, Kamsah, Mohd. Zaki

    Published 2007
    “…The architecture of the ANN model is founded on a multilayer feed forward network and used back propagation algorithm as the training scheme. …”
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  7. 7
    A preliminary study on automated freshwater algae recognition and classification system / Hayat Mansoor Abdullah

    A preliminary study on automated freshwater algae recognition and classification system / Hayat Mansoor Abdullah by Mansoor Abdullah, Hayat

    Published 2012
    “…Finally,41of geometrical, texture, and novel features were normalized to feed into artificial neural network (ANN) for classification and recognition purposes. The Feed-forward multilayer perceptron network with back propagation error algorithm (MLP) initialized, and trained with extracted database feature of selected algae image samples. …”
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  8. 8
    Process Fault Detection Using Hierarchical Artificial Neural Network Diagnostic Strategy

    Process Fault Detection Using Hierarchical Artificial Neural Network Diagnostic Strategy by Mohamad Rizza, Othman, Mohamad Wijayanuddin, Ali, Mohd Zaki, Kamsah

    Published 2007
    “…The architecture of the ANN model is founded on a multilayer feed forward network and used back propagation algorithm as the training scheme. …”
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  9. 9
    Effect of chaos noise on the learning ability of back propagation algorithm in feed forward neural network

    Effect of chaos noise on the learning ability of back propagation algorithm in feed forward neural network by Azian Azamimi, Uwate, Yoko, Nishio, Yoshifumi

    Published 2010
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  10. 10
    Wind power prediction using Artificial Neural Network: article

    Wind power prediction using Artificial Neural Network: article by Edik, Septony

    Published 2010
    “…In order to get an accurate wind power prediction, several network structures, training algorithms and transfer functions have been developed and tested with different sets of data. …”
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  11. 11
    Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding

    Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding by Mahmoud, Omer, Anwar, Farhat, Salami, Momoh Jimoh Emiyoka

    Published 2007
    “…One of the essential factors that affect the performance of Artificial Neural Networks is the learning algorithm. The performance of Multilayer Feed Forward Artificial Neural Network performance in image compression using different learning algorithms is examined in this paper. …”
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  12. 12
    EEG signal classification using Particle Swarm Optimization (PSO) neural network for brain machine interfaces

    EEG signal classification using Particle Swarm Optimization (PSO) neural network for brain machine interfaces by Paulraj, Murugesapandian, Hema, Chengalvarayan Radhakrishnamurthy, Ramachandran, Nagarajan, Sazali, Yaacob, Abdul Hamid, Adom

    Published 2009
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  13. 13
    A step towards the development of VHDL model for ANN based EMG signal classifier

    A step towards the development of VHDL model for ANN based EMG signal classifier by Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran

    Published 2012
    “…A feed-forward ANN with back-propagation learning algorithm is used for the classification of EMG signals. …”
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    Proceeding Paper
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  14. 14
    Intelligent technique for grading tropical fruit using magnetic resonance imaging

    Intelligent technique for grading tropical fruit using magnetic resonance imaging by A. Balogun, Wasiu, Salami, Momoh Jimoh Emiyoka, J. McCarthy, Michael, Mohd Mustafah, Yasir, Aibinu, Abiodun Musa

    Published 2013
    “…Different structures of multi-layer perceptron neural networks with feed-forward and back-propagation learning algorithms were developed using MATLAB. …”
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  15. 15
    Nonlinear response prediction of spar platform using artificial neural network / Md. Alhaz Uddin

    Nonlinear response prediction of spar platform using artificial neural network / Md. Alhaz Uddin by Md. Alhaz , Uddin

    Published 2012
    “…Environmental forces and structural parameters are used as inputs and FEM-based time history of spar platform responses are used as targets. Feed-forward neural networks with back-propagation algorithm are used to train the network. …”
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  16. 16
    PROPOSED METHODOLOGY FOR OPTIMIZING THE TRAINING PARAMETERS OF A MULTILAYER FEED-FORWARD ARTIFICIAL NEURAL NETWORKS USING A GENETIC ALGORITHM

    PROPOSED METHODOLOGY FOR OPTIMIZING THE TRAINING PARAMETERS OF A MULTILAYER FEED-FORWARD ARTIFICIAL NEURAL NETWORKS USING A GENETIC ALGORITHM by ABDALLA, OSMAN AHMED

    Published 2011
    “…ANN can be categorized into three main types: single layer, recurrent network and multilayer feed-forward network. In multilayer feed-forward ANN, the actual performance is highly dependent on the selection of architecture and training parameters. …”
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  17. 17
    Power system security assessment using artificial neural network: article / Mohd Fathi Zakaria

    Power system security assessment using artificial neural network: article / Mohd Fathi Zakaria by Zakaria, Mohd Fathi

    Published 2010
    “…This paper presented an application of Artificial Neural Network (ANN) in steady state stability classifications. A multi layer feed forward ANN with Back Propagation Network algorithm is proposed in determining the steady state stability classifications. …”
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  18. 18
    Wind power prediction using Artificial Neural Network

    Wind power prediction using Artificial Neural Network by Edik, Septony

    Published 2010
    “…In order to get an accurate wind power prediction, several network structures, training algorithms and transfer functions have been developed and tested with different sets of data. …”
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  19. 19
    Classification of Agarwood using ANN

    Classification of Agarwood using ANN by M. S., Najib, N. A., Mohd Ali, M. N., Mat Arip, M., Abd Jalil, M. N., Taib

    Published 2012
    “…The network developed based on three layers feed forward network and the back propagation learning algorithm was used in executing the network training. …”
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  20. 20
    Botnet Detection Using a Feed-Forward Backpropagation Artificial Neural Network

    Botnet Detection Using a Feed-Forward Backpropagation Artificial Neural Network by Ahmed, Abdulghani Ali

    Published 2019
    “…The current work proposes a technique to detect Botnet attacks using a feed-forward backpropagation artificial neural network. …”
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