Search Results - (( program training tool algorithm ) OR ( java application optimisation algorithm ))
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1
Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…So, the integration of Artificial Neural Network (ANN) with an Expert System for material classification was explored. The computational tool, Matlab was proposed for classification with Levenberg-Marquardt training algorithm, which provided faster rate of convergence for feed forward network. …”
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2
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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3
Enhanced Hopfield Neural Networks With Artificial Immune System Algorithm For Satisfiability Logic Programming
Published 2017“…A hybrid network called HNN-3SATAIS is proposed by assimilating the Hopfield neural network with the enhanced artificial immune system (AIS) algorithm as a training tool in doing 3-Satisfiability logic programming.…”
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4
Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm
Published 2008“…Among Information Technology graduates, Java programming assignments is an essential part of learning programming as it trains the student to solve programming assignments so that they can improve their programming skills that is useful in their professional life after graduation. …”
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5
Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…The design network is trained by presenting several target machining data that the network must learn according to a learning rule (algorithm). …”
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6
Development of a novel natural frequencies prediction tool for laminated composite plates using integrated artificial neural network (ANN) - simulink MATLAB / Mohd Arif Mat Norman
Published 2024“…The program is trained to predict natural frequencies with acceptable accuracy, utilizing various input configurations. …”
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7
Software Classification Using Structure-Based Descriptors
Published 2009“…Based on the undertaken experiment, the IBK algorithm is noted to generate the highest classification accuracy (74.8%) compared to several other algorithms provided in the Weka tool. …”
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8
Firefly algorithm-based neural network for GCPV system output prediction: article / Nor Syakila Mohd Zainol Abidin
Published 2014“…In the proposed MLFNN, Firefly Algorithm (FA) was employed as the optimizer and search tools of the MLFNN training parameters. …”
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9
Framework of Multi-Microcontroller Evaluation Tool for a use of Academic Environment
Published 2012“…These are presented in the second part of the paper describing the software part of the framework, which besides programming tools also discusses the code development tools. …”
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10
Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…The accuracy for rules and classification resulted from the TIP method are compared with other methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) from Rough Set, Genetic Algorithm (GA), Johnson reducer, HoltelR method, Multiple Regression (MR), Neural Network (NN), Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5); all other classifiers that are mostly used in the classification tasks. …”
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11
Framework of Designing Multiple Microcontroller Based Applications
Published 2011“…These are presented in the second part of the paper describing the software part of the framework, which besides programming tools also discusses the code development tools. …”
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Classification of Google Play application using decision tree algorithm on sentiment analysis of text reviews / Aqil Khairy Hamsani, Ummu Fatihah Mohd Bahrin and Wan Dorishah Wan A...
Published 2023“…The project's objectives are to study the classifying approach of Google Play Store application reviews using the Decision Tree algorithm, develop a prototype of a classifying application program, and evaluate the accuracy model of the review classification program. …”
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13
Speed control of separately excited dc motor using artificial intelligent approach
Published 2013“…A neural network controller with learning technique based on back propagation algorithm is developed. These two neural are training by Levenberg�Marquardt. …”
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14
Firefly algorithm-based neural network for GCPV system output prediction / Nor Syakila Mohd Zainol Abidin
Published 2014“…In the proposed MLFNN, FA was employed as the optimizer and search tools of the MLFNN training parameters. FA was used to optimize the number of neurons in the hidden layer, the learning rate and the momentum rate such that the Root Mean Square Error (RMSE) was minimized. …”
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Synthetic pterygium images using Style Generative Adversarial Networks (SGANs)
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Proceeding Paper -
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An ensemble deep learning classifier stacked with fuzzy ARTMAP for malware detection
Published 2023“…DL models often use gradient descent optimization, i.e., the Back-Propagation (BP) algorithm; therefore, their training and optimization procedures suffer from local sub-optimal solutions. …”
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Developing Android Application To Guide Lean Six Sigma PDCA Project
Published 2018“…The knowledge of Lean Six Sigma can be learned through online training, university course and company training program. …”
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Monograph -
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Computerized simulation system for ECM radar system
Published 2007“…The user needs a system which is able to evaluate equipment and train personnel about EW theory. Then Unified Modeling Language (UML) was used as a tool to implement the OO methodology. …”
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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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