Search Results - (( program rule method algorithm ) OR ( java application learning algorithm ))
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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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Enhanced Hopfield Neural Networks With Artificial Immune System Algorithm For Satisfiability Logic Programming
Published 2017“…In this study, a new hybrid method in doing logic programming by incorporating 3-SAT logical rules as a computational tool will be presented. …”
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Hybrid Ant Colony Optimization For Two Satisfiability Programming In Hopfield Neural Network
Published 2019“…The newly proposed metaheuristic algorithm was enhanced ant colony optimization (ACO) algorithm.…”
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Comprehensive power restoration approach using rule-based method for 11kV distribution network
Published 2023“…This paper presents a restoration algorithm based on a Rule-Based approach. The algorithm is computationally programmed to provide multiple solutions and to recommend the best option of switching for a dispatcher. …”
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Data mining using genetic algorithm in finance data / A. Noor Latiffah and A. B. Nordin
Published 2006“…This project, wilt extract some useful financial knowledge from the Syariah Index data of Kuala Lumpur Syariah Index (KLSI). The methods that wilt be applied are conventional statistical methods Markowitz Optimization as well as evolutionary programming (EP) utilizing genetic algorithms. …”
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The solution of 2048 puzzle game using A* algorithm / Zafhira Ismail
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Propositional satisfiability method in rough classification modeling for data mining
Published 2002“…The classification accuracy, the number of rules and the maximum length of rules obtained from the SIPIDRIP method was compared with other rough set method such as Genetic Algorithm (GA), Johnson, Holte l R, Dynamic and Exhaustive method. …”
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A comprehensive power restoration approach using rule-based method for 11kV distribution network
Published 2008“…This paper presents a restoration algorithm based on a Rule-Based approach. The algorithm is computationally programmed to provide multiple solutions and to recommend the best option of switching for a dispatcher. …”
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Fault detection and diagnosis using rule-based support system on fatty acid fractionation column
Published 2003“…Process history based methods (rule-based feature extraction) is used to implement the FDD rule-based support system. …”
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Fuzzy rules reduction using rough set approach
Published 2003“…Johnson reducer and Genetic Algorithm reducer are the methods used for computing reducts. …”
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Determining optimal transportation allocation using linear programming methods / Tengku Mohd Hazimi Tuan Hassan and Maslin Masrom
Published 2022“…Among all transportation models, VAM and Simplex methods are considered the best methods since they produce the ideal results, whereas the North-West Corner Rule is considered the simplest method but produces the worst results. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Auto-formation group chat for fitness application with rule-based / Amar Aslam Ramli
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Student Project -
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Monotone Data Samples Do Not Always Produce Monotone Fuzzy If- Then Rules: Learning with Ad hoc and System Identification Methods
Published 2017“…As such, monotone fuzzy rule relabeling is useful. Besides that, a constrained non-linear programming method for FIS modelling is suggested, as a variant of the system identification method.…”
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