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1
Improved voting technique for ensemble of MLP system applied on various classification data / Saodah Omar, Iza Sazanita Isa and Junita Mohd Saleh.
Published 2010“…The MLP networks are trained using two types of learning algorithm, which are the Levenberg Marquardt and the Resilient Back Propagation algorithms. …”
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Research Reports -
2
The development of an automated pattern recognition based on neural network / Irni Hamiza Hamzah, Mohammad Nizam Ibrahim and Linda Mohd Kasim
Published 2006“…MATLAB Version 7.0.4 Release 14 has been used as a programming language to build the system. …”
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Research Reports -
3
Optimization of Multilayer Perceptron (MLP) network training algorithms for agrwood oil quality separation / Noratikah Zawani Mahabob ... [et al.]
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Conference or Workshop Item -
4
Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm
Published 2023“…The radial basis function (RBF) neural network�whale algorithm (WA) model, the multilayer perception (MLP�WA) model, and genetic programming (GP) were used to predict GWL. …”
Article -
5
Continuation power flow for voltage stability assessment / Mohd Zamri Laton
Published 2006“…The continuation power flow program is developed using MATLAB programming language base on algorithm of continuation power flow (CPF) technique, which can compute efficiently the parameter at saddle node bifurcation point. …”
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6
Evaluation of data mining classification and clustering techniques for diabetes / Tuba Pala and Ali Yilmaz Camurcu
Published 2014“…Multilayer Perceptron algorithm has been the best algorithm with the highest success percentage in both of the programs; Decision Trees has been the algorithm which has the lowest success percentage again in both of the programs. …”
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Article -
7
Improve in speed and the convergence in training process for the purpose of system modeling using Hybrid Multilayer Perceptron (HMLP) neural network / Farida Karman
Published 2008“…The analysis of the performance of the HMLP network has proven that it is suitable to be used in system modeling. The network strategy employed will result in fast speed of convergence rate if compared to the Multilayer Perceptron (MLP) network, but low speed in program running time because of the HMLP structure is more complex than MLP network. …”
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8
Satisfiable Integer Programming Algorithm On Distributed Inter Process Communication (SIP-DIPC)
Published 2019“…Satisfiable Integer Programming (SIP) has been used to quantify dataset in Rough Classification Modeling (RCM). …”
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Article -
9
Particle swarm optimization for neural network learning enhancement
Published 2006“…Backpropagation (BP) algorithm is widely used to solve many real world problems by using the concept of Multilayer Perceptron (MLP). …”
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Load flow study comparison between Newton Raphson load flow method and fast decouple load flow method / Mohd Haizilan Alias
Published 2007“…The method of power flow program is developed using MATLAB programming language base on algorithm of continuation power flow (CPF) technique, which can compute efficiently the parameter at saddle node bifurcation point. …”
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12
Predicting Flow Rate of V-Shape Customm Tank Using Derivative Free Recursive Algorithm
Published 2011“…The obtained results showed that introducing Multilayer Perceptron (MLP) Neural Network architecture improve the prediction significantly where different algorithms, Recursive Kalman Filter (RKF) and Extended Kalman Filter (EKF) have been used simultaneously to estimate fluid height and output flow. …”
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Citation Index Journal -
13
Academic Achievement Prediction Model Using Neural Networks
Published 2002“…A neural network technique, using Multi Layer Perceptron (MLP) and back propagation algorithm was employed. …”
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14
PREDICTING FLOW RATE AND LEVEL OF CUSTOM TANK USING PARTICLE FILTER
Published 2009“…The obtained results showed that introducing Multilayer Perceptron (MLP) Neural Network architecture improve the prediction significantly where different algorithms, Recursive Kalman Filter (RKF) and Extended Kalman Filter (EKF) have been used simultaneously to estimate fluid height and output flow. …”
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Final Year Project -
15
NN with DTW-FF Coefficients and Pitch Feature for Speaker Recognition
Published 2006“…Then the DTW-FF coefficients are retained and later being used as inputs into the MLP neural network training and testing. …”
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16
Image Improvement Technique Using Feed Forward Neural Network
Published 2004“…The program has been implemented using MATLAB version 6.5 as programming language.Finally, unsharp mask filter based neural network with different mask sizes has been investigated. …”
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17
Algorithms for moderating effect of emotional value from a cross-media data fusion perspective: a case study of Chinese dating reality shows
Published 2026“…These representations are divided into emotions such as joy, sadness, love, jealousy, conflict, and embarrassment using a Multi-Layer Perceptron (MLP) with softmax activation. …”
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New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab. Aziz
Published 2014“…Another new hybrid algorithm that used Evolutionary Programming (EP) termed as Evolutionary Support Vector Machine (ESVM) was also developed for comparative study. …”
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19
A multi-layer perceptron approach for customer churn prediction
Published 2015“…The research proposes Multilayer Perceptron (MLP) neural network approach to predict customer churn in one of the leading Malaysian’s telecommunication companies. …”
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Detection of arcing fault in underground distribution cable using artificial neural network
Published 2004“…A Multi-layer Perceptron (MLP) with Backpropagation (BP) learning is used to discriminate arcing faults from normal load condition. …”
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