Search Results - (( learning implementation phase algorithm ) OR ( java application matching algorithm ))
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Binary ant colony optimization algorithm in learning random satisfiability logic for discrete hopfield neural network
Published 2024“…Additionally, we evaluated the learning phase, retrieval phase, and similarity analysis using various ratios of literals and clauses. …”
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Face expression recognition using artificial neural network (ANN) / Mazuraini Ghani
Published 2005“…This project is all about implementing the back-propagation neural network algorithm in classification of face expression. …”
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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Bipartite graph approach to course timetabling problems / Hafizah A Razak
Published 2009“…The next phase is to design and implement the prototype based on the requirements from phase three. …”
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Web usage mining for UUM learning care using association rules
Published 2004“…In order to produce the university E-Learning (UUM Educare) portal usage patterns and user behaviors, this paper implements the high level process of Web usage mining using basic Association Rules algorithm - Apriori Algorithm. …”
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Dam haji game using A* search algorithm / Siti Farah Najwa Mukhlis
Published 2017“…The project is completed by going through the preliminary study phase, data preparation phase, system design and implementation phase, and the evaluation and result analysis phase. …”
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Logic Mining Approach: Shoppers’ Purchasing Data Extraction via Evolutionary Algorithm
Published 2023“…In this study, 2-satisfiability logic was used to represent the shopping attribute and a special recurrent artificial neural network named Hopfield neural network was employed. In reducing the learning complexity, a genetic algorithm was implemented to optimize the logical rule throughout the learning phase in performing a 2-satisfiability-based reverse analysis method, implemented during the learning phase as this method was compared. …”
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Jogging activity recognition using k-NN algorithm
Published 2022“…The k-NN algorithm is a simple and easy-to-implement supervised machine learning algorithm that can be used to solve both classification and regression problems. …”
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FRUIT RECOGNITION APPLICATION USING MACHINE LEARNING
Published 2023“…In the classification phase, the system uses the extracted features to classify the fruits using a machine learning algorithm – a backpropagation neural network (BPNN). …”
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Final Year Project Report / IMRAD -
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A case study on quality of sleep and health using Bayesian networks
Published 2012“…There are several phases involved including implementation of the learning algorithms, integration of prior knowledge through the whitelist argument and arc setting to form directed acyclic graphs. …”
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Web Usage Mining for UUM Learning Care Using Association Rules
Published 2004“…In order to produce the university E-Learning (UUM Educare) portal usage patterns and user behaviors, this paper implements the high level process of Web usage mining using basic Association Rules algorithm - Apriori Algorithm. …”
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Corona fault detection in switchgear with extreme learning machine
Published 2023“…In this research, a fault detection system is proposed with the implementation of Extreme Learning Machine (ELM). This algorithm is capable to identify faults in switchgear by analyzing the sound wave generated. …”
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Overhead view based person counting using deep learning
Published 2022“…However, the counting accuracy of Centroid Tracking algorithm is about 22.2% lower than the DeepSORT tracking algorithm. …”
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REAL-TIME ILLUMINATION COMPENSATION ON DYNAMIC BACKGROUND FOR CROWD ANALYTIC SURVEILLANCE
Published 2015“…Moreover, the results of our method is been used with other behavior learning algorithms to improve their efficiency.…”
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Development of an Isolated Digit Speech Recognition Based on Multilayer Perceptron Model
Published 2004“…An adaptive sigmoid function is implemented to achieve this objective. A typical or fixed sigmoid function method is used in learning phase. …”
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