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Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu
Published 2005“…The programs are back-propagation neural network program, training and performance program and recognition program. …”
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Thesis -
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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 -
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Vision-based robot indoor navigation
Published 2022“…A navigation robot is built to test the workability and efficiency of the algorithms. …”
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Final Year Project / Dissertation / Thesis -
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Artificial neural network (ANN) modeling & validation to predict compression index of tropical soft soil
Published 2010“…Therefore, many settlement prediction methods have focused on correlations with in-situ tests, such as the Cone Penetration Test (CPT), Standard Penetration Test (SPT), Dilatometer Modulus Test (DMT), plate load test, and pressure-meter test. …”
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Final Year Project Report / IMRAD -
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Analysis Of Personal Protective Equipment Classification Method Using Deep Learning
Published 2022“…By using classifying into 5 classes, the final training accuracy is 89.39% and testing accuracy of 62.23%. …”
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Undergraduates Project Papers -
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Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…This knowledge is then converted into computer program or by utilizing exhaustively trained and tested Artificial Intelligence (AI) algorithm. …”
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Academic Achievement Prediction Model Using Neural Networks
Published 2002“…A training prediction of 90 % accuracy and testing prediction of 83.33% accuracy were achieved using this model. …”
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Software Classification Using Structure-Based Descriptors
Published 2009“…A total of 2800 programs have been used during the training process while two different datasets of size (28) were used for testing. …”
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A new mobile botnet classification based on permission and API calls
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An interactive C++ programming courseware (SIFOO) / Mazliana Hasnan … [et al.]
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Book Section -
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The development of an automated pattern recognition based on neural network / Irni Hamiza Hamzah, Mohammad Nizam Ibrahim and Linda Mohd Kasim
Published 2006“…Two types of data (i.e.: iris data and cervical cancer data) have been used to test the performance of the proposed system. The selected neural network architecture is the Multilayer Perceptron (MLP) network, which is trained with three different types of learning algorithms, namely the Levenberg Marquardt (LM), Bayesian Regression (BR) and Gradient Descent (GDX). …”
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Research Reports -
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Classification System for Heart Disease Using Bayesian Classifier
Published 2007“…This system is tested using the test and training data set. It has proven that the system able to provide an accurate result on justifying whether the patient has has problem or not. …”
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Space allocation for examination scheduling using Genetic Algorithm / Alya Kauthar Azman
Published 2025“…This study applies Genetic Algorithms (GA) to optimize space distribution for test scheduling, addressing the challenge of managing multiple test sessions across distinct locations. …”
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Handwriting recognition using webcam for data entry
Published 2014“…Several untrained samples of numerical handwritten data were obtained at random from various people to be tested with the program. The second tests shows far greater results compared to the first test, have yielded an average of 84.52% accuracy. …”
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Final Year Project -
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Predicting Student Performance in Object Oriented Programming Using Decision Tree : A Case at Kolej Poly-Tech Mara, Kuantan
Published 2013“…The experiment with 50% of data training and 50% of data testing in percentage split produced higher accuracy where the percentage of correctly classified instance was 76.2557%. …”
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Conference or Workshop Item
