Search Results - (( using function method algorithm ) OR ( knowledge information based algorithm ))
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1
The compact genetic algorithm for likelihood estimator of first order moving average model
Published 2012“…One of the main advantages of using these techniques is that they require no knowledge or gradient information about the response surface. …”
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2
The development of semantic meta-database: an ontology based semantic integration of biological databases
Published 2007“…The tool comprises two intelligent algorithms. The first algorithm combines parallel genetic algorithm with the split-and-merge algorithm. …”
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Monograph -
3
Online food ordering application using Boyer-Moore algorithm / Muhammad Zulhilmie Dzulkifli
Published 2021“…The manual method often has a lack of knowledge that the menu that shows the customer does not provide any information that customers need, such as an image of the food or ingredients used in the menu. …”
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4
Discovering decision algorithm from a distance relay event report
Published 2009“…In helping the protection engineers deal with this overwhelming data, this study relied merely on digital protective relay’s recorded event report because, among other intelligent electronic devices, digital protective relay sufficiently provided virtually most attributes needed for data mining process in knowledge discovery in database. The method of discovering the distance relay decision algorithm essentially involved formulating rough set discernibility matrix and function from relay event report, finding reducts of pertinent attributes using genetic algorithm and finally generating relay prediction rules. …”
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5
Ontology-based metabolic pathway prediction using saccharomyces cerevisiae data from genbank, ecocyc and kegg
Published 2006“…This approach capable to predict metabolic pathway of S.cerevisiae with 87 percent accuracy compared to 80 percent accuracy using PathoLogic algorithm…”
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6
New Learning Models for Generating Classification Rules Based on Rough Set Approach
Published 2000“…Recently, different models were used to generate knowledge from vague and uncertain data sets such as induction decision tree, neural network, fuzzy logic, genetic algorithm, rough set theory, and others. …”
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7
Development of a Negotiation Support Model for Value Management in Construction
Published 2009“…This methodology combines value analysis method using Function Analysis System Technique (FAST); Life Cycle Cost analysis, group decision analysis method based on Analytical Hierarchy Process (AHP), and Game theory-based agent system to develop a negotiation support. …”
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Final Year Project -
8
Semantic analysis system by using latent semantic analysis (LSA) algorithm on khutbah texts / Ammar Zuber
Published 2019“…The testing phase is where two testing method were conducted which were the functionality testing and the benchmark testing. …”
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9
High performance simulation for brain tumors growth using parabolic equation on heterogeneous parallel computer systems
Published 2007“…The implementation of parallel algorithm based on parallel computing system is used to capture the growth of brain tumour. …”
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10
Effective query structuring with ranking using named entity categories for XML retrieval
Published 2016“…Then, the system uses a ranking function rk_BM25TOPF to assign relevance scores to XML fragments with respect to a query and an N-gram based Query Segmentation (NBQS) method to interpret the user query as a list of N-grams (resolves ambiguity). …”
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11
An Artificial Intelligence-Based Knowledge Management System for Outcome-Based Education Implementing in Higher Education Institutions
Published 2025“…Recommendation system on learning analysis was implemented in a hybrid algorithm combines Rule-based and Content-based filtering algorithms. …”
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12
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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13
Tacit knowledge for business intelligence framework using cognitive-based approach
Published 2022“…This research contributes to the methods of capturing tacit knowledge using a cognitive-based approach, which important to ensure the continuity of business in various domains.…”
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14
Bayesian logistic regression model on risk factors of type 2 diabetes mellitus
Published 2016“…The Bayesian logistic regression methods made use of the metropolis hasting (Random walk algorithm) and the Gibbs sampler with the incorporation of non-informative flat prior and non-informative non-flat prior distributions to obtain the posterior distribution for each coefficient of the variables. …”
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15
What, how and when to use knowledge in neural network application
Published 2004“…; and When to use this knowledge? Knowledge is simply the weights that connect each neuron in neural networks. …”
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16
An Empirical Evaluation of Artificial Intelligence Algorithm for Hand Posture Classification
Published 2022“…Moreover, the performance of each method has been rigorously measuring as a function of training accuracy, testing accuracy, prediction speed, and training time. …”
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17
Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller
Published 2010“…The contribution of this work is to optimize the base of Fuzzy membership function of the APFLC by using GA technique. …”
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18
EEG-Based Person Authentication Modelling Using Incremental Fuzzy-Rough Nearest Neighbour Technique
Published 2016“…The IncFRNN algorithm updates the training set by employing a heuristic update method to maintain representative objects and eliminate rarely used objects. …”
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19
Fruity vegetable recognition system using Color Histogram and BRISK features extraction / Siti Hajar Mohd Nasri
Published 2016“…Then, from the built knowledge, system testing is conducted using other 10 images to check functionality of system to recognize image by calculate the similarity measure using Euclidean Distance formula. …”
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20
Fuzzy-Genetic based approach in decision making for repair of turbochargers using additive manufacturing
Published 2023“…Genetic algorithm optimization method was used to optimize the cost of the repairing process once the decision on whether the turbocharger was repairable was determined by the Fuzzy system. …”
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