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

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  1. 1
    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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  2. 2
    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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    Thesis
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  3. 3
    Handwriting Recognition Using Artificial Neural Network

    Handwriting Recognition Using Artificial Neural Network by Goh , Siew Yin

    Published 2004
    “…It was found that feature extraction plays an important role in making the neural recognition system better for a more accurate detection. …”
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    Final Year Project
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  4. 4
    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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  5. 5
    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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  6. 6
    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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  7. 7
    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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  8. 8
    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
    “…Then, Image segmentation applied by using canny edge detection algorithm with specific morphological operation to isolate the image objects components. …”
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  9. 9
    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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  10. 10
    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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    Student Project
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  11. 11
    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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  12. 12
    Modeling of road geometry and traffic accidents by hierarchical object-based and deep learning methods using laser scanning data

    Modeling of road geometry and traffic accidents by hierarchical object-based and deep learning methods using laser scanning data by Sameen, Maher Ibrahim

    Published 2018
    “…There was a need for efficient segmentation algorithm, optimization strategy, feature extraction and classification, and robust statistical and computational intelligence models to accomplish the set aims. …”
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  13. 13
    Image processing based vehicle's license plate tracking and recognition system

    Image processing based vehicle's license plate tracking and recognition system by Lorita Angeline

    Published 2013
    “…Properties obtained from the Signature Analysis such as ratio of the character and features extracted from the segmented character is fed and trained in a multi-layer feed-forward back-propagation neural network. …”
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  14. 14
    Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System

    Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System by Ali, Mohammed Hasan, Mohamed Fadli, Zolkipli

    Published 2019
    “…The approach was tested on the KDD Cup99 intrusion detection dataset and the results proved the proposed PSO-RKFLN as an accurate, reliable, and effective classification algorithm.…”
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  15. 15
    Neural network approach of harmonics detection

    Neural network approach of harmonics detection by Zin, A.A.M, Rokonuzzaman, M., Shaibon, H., Lo, K.I.

    Published 1998
    “…This paper describes a novel approach of harmonics detection in a power system which can be used as an alternative to the conventional approaches. …”
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  16. 16
    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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  17. 17
    Automatic recognition of freshwater algae (Oscillatoria sp.) using image processing techniques with artificial neural network approach / Awatef Saad Salem Saad

    Automatic recognition of freshwater algae (Oscillatoria sp.) using image processing techniques with artificial neural network approach / Awatef Saad Salem Saad by Salem Saad, Awatef Saad

    Published 2012
    “…Segmentation module used to isolate the different objects found in input image. A combination of Feed forward artificial neural network (ANN) with feature extraction module was used to train and recognize oscillator images. …”
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  18. 18
    Vehicle noise comfort level indication: A psychoacoustic approach

    Vehicle noise comfort level indication: A psychoacoustic approach by Paulraj, Murugesa Pandiyan, Prof. Madya, Sazali, Yaacob, Prof. Dr., Andrew, Allan Melvin

    Published 2010
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  19. 19
    Vehicle interior sound quality evaluation using energy based features

    Vehicle interior sound quality evaluation using energy based features by Allan, Melvin Andrew, Paulraj, Murugesa Pandian, Prof. Dr., Sazali, Yaacob, Prof. Dr.

    Published 2012
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  20. 20
    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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