Search Results - feed-forward ((extraction algorithm) OR (pollination algorithm))

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  1. 1
    Automated plant recognition system based on multi-objective parallel genetic algorithm and neural network

    Automated plant recognition system based on multi-objective parallel genetic algorithm and neural network by Sefidgar, Seyed Mohammad Hossein

    Published 2014
    “…First, the best set of structures for feed forward neural network were found by multi objective parallel genetic algorithm. …”
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  2. 2
    Fault classification in transmission line using single layer feed-forward network trained by extreme learning machine / Muhamad Azfar Abd Ghafar

    Fault classification in transmission line using single layer feed-forward network trained by extreme learning machine / Muhamad Azfar Abd Ghafar by Abd Ghafar, Muhamad Azfar

    Published 2015
    “…The SLFN is trained by an algorithm named Extreme Learning Machine (ELM). The extracted features will be fed up into SLFN to classify the fault. …”
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  3. 3
    Fault classification in transmission line using single layer feed-forward network trained by extreme learning machine / Muhamad Azfar Abd Ghafar

    Fault classification in transmission line using single layer feed-forward network trained by extreme learning machine / Muhamad Azfar Abd Ghafar by Abd Ghafar, Muhamad Azfar

    Published 2015
    “…The SLFN is trained by an algorithm named Extreme Learning Machine (ELM). The extracted features will be fed up into SLFN to classify the fault. …”
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  4. 4
    Introducing new statistical shape based and texture feature extraction methods in the plant species recognition system

    Introducing new statistical shape based and texture feature extraction methods in the plant species recognition system by Seyed Mohammad Hussein, Ahmad, Siti Anom, Hassan, Mohd Khair, Ishak, Asnor Juraiza

    Published 2013
    “…As the classification result, radial basis neural networks (RBFNN), feed forward neural networks (FFNN), neural networks using genetic algorithm (NNUGA) shows 100%, 93%, 97.3% of accuracy respectively . …”
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  5. 5
    Structural steel plate damage detection using non destructive testing, frame energy based statistical features and artificial neural networks

    Structural steel plate damage detection using non destructive testing, frame energy based statistical features and artificial neural networks by Paulraj, Murugesa Pandiyan, Dr., Sazali, Yaacob, Prof. Dr., Mohd Shukry, Abdul Majid, Mohd Nor Fakhzan, Mohd Kazim, Pranesh, Krishnan

    Published 2013
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  6. 6
    Infant cry recognition system: A comparison of system performance based on Mel frequency and linear prediction cepstral coefficients

    Infant cry recognition system: A comparison of system performance based on Mel frequency and linear prediction cepstral coefficients by Abdulaziz Y., Ahmad S.M.S.

    Published 2023
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  7. 7
    Semantic focus fusion based on deep learning for deblurring effect

    Semantic focus fusion based on deep learning for deblurring effect by Ismail, .

    Published 2024
    “…Semantic focus fusion architecture contains focus extraction, feed-forward mapping, and upsampling modules. …”
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  8. 8
    Using perceptron feed-forward Artificial Neural Network (ANN) for predicting the thermal conductivity of graphene oxide-Al2O3/water-ethylene glycol hybrid nanofluid

    Using perceptron feed-forward Artificial Neural Network (ANN) for predicting the thermal conductivity of graphene oxide-Al2O3/water-ethylene glycol hybrid nanofluid by Tian, S., Arshad, N.I., Toghraie, D., Eftekhari, S.A., Hekmatifar, M.

    Published 2021
    “…Then, to generalize the data and obtain a function, the Perceptron feed-forward ANN was used, simulating the output parameter. …”
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  9. 9
    Overhead vision system for mobile robot orientation detection

    Overhead vision system for mobile robot orientation detection by Fadzilah, Hashim

    Published 2011
    “…The extracted features are then used as the inputs to a simple feed forward neural network. …”
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  10. 10
    Data Entry using Handwriting Recognition Techniques

    Data Entry using Handwriting Recognition Techniques by Poo, Hwei Nee, Sebastian, Patrick, Yap, Vooi Voon

    Published 2007
    “…Distinctive features from each character are extracted using the combination of five feature extraction modules. …”
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  11. 11
    Multi-response optimization and neural network modeling for parameter precision in heat reflux extraction of spice oleoresins from two pepper cultivars (Piper nigrum)

    Multi-response optimization and neural network modeling for parameter precision in heat reflux extraction of spice oleoresins from two pepper cultivars (Piper nigrum) by Olalere, Olusegun Abayomi, Nour, A. H., R. M., Yunus, Alara, Oluwaseun Ruth

    Published 2017
    “…This was achieved by comparing two algorithms, transfer functions and neurons. A good training and better prediction of the experimental data were observed using the Levenberg Marquardt (LM) feed forward backpropagation algorithm with log sigmoid transfer function as hidden layer and 3-4-5-1 as model topology. …”
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  12. 12
    Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari

    Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari by Sha’ari, Nor Silawati

    Published 2018
    “…For the ANN, Multilayer feed-forward networks are trained using Back Propagation (BP) learning algorithm and for the KNN, is used the most common distance which is Euclidean. …”
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  13. 13
    Power improvement of solar photovoltaic (PV) based on maximum power point tracking (MPPT) controller / Siti Munirah Ahmad Saad

    Power improvement of solar photovoltaic (PV) based on maximum power point tracking (MPPT) controller / Siti Munirah Ahmad Saad by Siti Munirah, Ahmad Saad

    Published 2018
    “…This MPPT using perturb and observe algorithm, the algorithm are general algorithm and use as a code. …”
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  14. 14
    Yield prediction of supercritical fluid extraction of Nigella sativa using neutral networks / Sarah Diana Isnin and Sitinoor Adeib Idris

    Yield prediction of supercritical fluid extraction of Nigella sativa using neutral networks / Sarah Diana Isnin and Sitinoor Adeib Idris by Isnin, Sarah Diana, Adeib Idris, Sitinoor

    Published 2025
    “…A feed-forward multi-layer neural network with Levenberg-Marquardt training algorithm was developed to predict yield for supercritical carbon dioxide (SC-CO2) extraction of Nigella sativa essential oil. …”
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  15. 15
    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
    “…The solution set (i.e. optimized weight/bias matrix of ANN) provided by the optimized and improved genetic algorithm and modified BP based model is extracted and used in the design and development of a prototype device of the proposed model. …”
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  16. 16
    Brain signatures: a modality for biometric authentication

    Brain signatures: a modality for biometric authentication by Hema, Chengalvarayan Radhakrishnamurthy, Paulraj, Murugesapandian, Kaur, Harkirenjit

    Published 2009
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  17. 17
    Handwriting Recognition Using Artificial Neural Network

    Handwriting Recognition Using Artificial Neural Network by Goh , Siew Yin

    Published 2004
    “…The neural network scheme employs the Multi Layer Feed Forward Network as the alphabet classifier. This network is trained using the Back-Propagation algorithm to identify similarities and patterns among different handwriting samples. …”
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  18. 18
    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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  19. 19
    Bacteria identification via Artificial Neural Network based-on Bergey’s manual

    Bacteria identification via Artificial Neural Network based-on Bergey’s manual by Ruhaimi, Amirul Hafiiz

    Published 2017
    “…Levenberg Marquardt algorithm based Feed-forward backpropagation with Multilayer perceptron type of ANN was used in the training and learning sessions of the ANN development in order to obtain high accuracy simulation results within short period of time.…”
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  20. 20
    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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