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

Refine Results
  1. 1

    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.…”
    Get full text
    Get full text
    Article
  2. 2

    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
    “…The features extracted from Magnetic Resonance Imaging (MRI), using any of the two proposed methods, were applied as an input to train artificial neural network (ANN) in order to predict the orange fruit status. Different structures of multi-layer perceptron neural networks with feed-forward and back-propagation learning algorithms were developed using MATLAB. …”
    Get full text
    Get full text
    Get full text
    Article
  3. 3

    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…”
    Conference Paper
  4. 4

    Optimization of Prediction Error in CO2 Laser Cutting process by Taguchi Artificial Neural Network Hybrid with Genetic algorithm by Nukman, Y., Hassan, M.A., Harizam, M.Z.

    Published 2013
    “…Simulation and prediction of CO2 laser cutting of Perspex glass has been done by feed forward back propagation Artificial Neural Network (ANN). …”
    Get full text
    Article
  5. 5

    Development of generalized feed forward network for predicting annual flood (depth) of a tropical river by Salarpour, Mohsen, Zulkifli Yusop, Jajarmizadeh, Milad, Fadhilah Yusof

    Published 2014
    “…The governing training algorithm was back propagation with momentum term and tangent hyperbolic types was used as transfer function for hidden and output layers. …”
    Get full text
    Get full text
    Get full text
    Article
  6. 6

    Artificial neural network modeling studies to predict the yield of enzymatic synthesis of betulinic acid ester by Moghaddam, Mansour Ghaffari, Ahmad @ Amat, Faujan, Basri, Mahiran, Abdul Rahman, Mohd Basyaruddin

    Published 2010
    “…In this study, artificial neural network (ANN) analysis of Candida antarctica lipase (Novozym 435) -catalyzed esterification of betulinic acid with phthalic anhydride was carried out. A multilayer feed-forward neural network trained with an error back-propagation algorithm was incorporated for developing a predictive model. …”
    Get full text
    Get full text
    Get full text
    Article
  7. 7

    Using an Enhanced Feed-Forward BP Network for Predictive Model Building From Students’ Data by Ajiboye, Adeleke Raheem, Ruzaini, Abdullah Arshah, Qin, Hongwu

    Published 2015
    “…Feed-forward, Back Propagation (BP) Network is a network structure capable of modeling the class prediction as a nonlinear combination of the inputs. …”
    Get full text
    Get full text
    Get full text
    Article
  8. 8

    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. …”
    Get full text
    Get full text
    Article
  9. 9

    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. …”
    Get full text
    Get full text
    Conference or Workshop Item
  10. 10

    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. …”
    Get full text
    Get full text
    Thesis
  11. 11
  12. 12

    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. …”
    Get full text
    Get full text
    Thesis
  13. 13

    Prediction of material removal rate and tool wear rate in electrical discharge machining using feedforward neural network / Zaid Mohd Hanapiah by Mohd Hanapiah, Zaid

    Published 2009
    “…The NN architecture that had been used in this project is multilayer feed forward with back propagation learning algorithm. …”
    Get full text
    Get full text
    Thesis
  14. 14

    Application of artificial neural network in share price forecasting / Zakiah Mustafa by Mustafa, Zakiah

    Published 1998
    “…Abstract This thesis present the applications of artificial neural network (ANN) to predict the share price of Telekom Malaysia Bhd. The back-propagation algorithm used to train the ANN. …”
    Get full text
    Get full text
    Thesis
  15. 15

    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. …”
    Get full text
    Get full text
    Student Project
  16. 16
  17. 17

    Optimisation of laser cutting parameters of oil palm wood / Harizam Mohd Zin by Harizam, Mohd Zin

    Published 2013
    “…In some cases, the prediction errors of Taguchi ANN model was found larger than 10% even using a Levenberg Marquardt training algorithm. …”
    Get full text
    Get full text
    Thesis
  18. 18

    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. …”
    Get full text
    Get full text
    Get full text
    Article
  19. 19

    Thermomechanical process modelling of 40NICRMO8-4 alloy by artificial neural networks by Alibeiki, Esmaeil, Rajabi, Jamal, Rajabi, Javad

    Published 2019
    “…The employed neural network for this study was a feed forward multilayer perceptron trained with common back propagation algorithm. …”
    Get full text
    Get full text
    Get full text
    Article
  20. 20

    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. …”
    Get full text
    Get full text
    Thesis