Search Results - (( developing logic learning algorithm ) OR ( java implication based algorithm ))

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  1. 1

    A conceptual multi-agent framework using ant colony optimization and fuzzy algorithms for learning style detection by Basheer G.S., Ahmad M.S., Tang A.Y.C.

    Published 2023
    “…The multi-agent system applies ant colony optimization and fuzzy logic search algorithms as tools to detecting learning styles. …”
    Conference Paper
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    Training of interval type-2 fuzzy logic system using extreme learning machine for load forecasting by Hassan, S., Khosravi, A., Jaafar, J.

    Published 2015
    “…Hence the fuzzy logic systems can be trained using SLFN's learning algorithms. …”
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    Conference or Workshop Item
  3. 3

    A hybrid fuzzy logic and extreme learning machine for improving efficiency of circulating water systems in power generation plant by Aziz N.L.A.A., Yap K.S., Bunyamin M.A.

    Published 2023
    “…The ELM is an extremely fast learning algorithm for neural network that can completed the training cycle in a very short time. …”
    Conference paper
  4. 4

    Adaptive complex neuro-fuzzy inference system for non linear modeling and time series prediction by Shoorangiz, Mohammadreza

    Published 2013
    “…The development sequence of such method can be divided into two parts: Developing network structure to employ complex fuzzy logic and proposing learning algorithm to train the system. …”
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    Thesis
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    The A-rray: visual animation in learning structured programming / Wan Salfarina Wan Husain ,Siti Hasrinafasya Che Hassan and Wan Norliza Wan Bakar by Wan Husain, Wan Salfarina, Che Hassan, Siti Hasrinafasya, Wan Bakar, Wan Norliza

    Published 2018
    “…The visual animation is considered to be a very promising potential to aid students in learning and understanding the algorithm concept in programming. …”
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    Article
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    Synergizing intelligence and knowledge discovery: Hybrid black hole algorithm for optimizing discrete Hopfield neural network with negative based systematic satisfiability by Rusdi, Nur ‘Afifah, Zamri, Nur Ezlin, Kasihmuddin, Mohd Shareduwan Mohd, Romli, Nurul Atiqah, Manoharam, Gaeithry, Abdeen, Suad, Mansor, Mohd. Asyraf

    Published 2024
    “…Furthermore, the systematic logical rules neglect the impact on the appearance of negative literals within the logical structure, and most recent efforts have primarily focused on improving the learning capabilities of the network, which could potentially limit its overall efficiency. …”
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    Article
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    Enhancing programming language learning with 3D game-based programming for MSU students: codadventure / Abdullah Adib Aditia Wirawan and Nur Suhana Mohd Redzo by Aditia Wirawan, Abdullah Adib, Mohd Redzo, Nur Suhana

    Published 2024
    “…The instructor's methodology also guides the students in teaching and learning programming language using the Logic Learning method in the game. …”
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    Conference or Workshop Item
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    Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process by Ali Al-Assadi, Hayder M. A.

    Published 2004
    “…Artificial Neural Network (ANN) was selected from Machine Learning Algorithms to be the learning algorithm. …”
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    Thesis
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    Landslides susceptibility using Fuzzy Logic approach at Kg Iboi, Baling, Kedah / Mohd Ashraf Ahmad Zubir by Ahmad Zubir, Mohd Ashraf

    Published 2023
    “…The primary goals encompass delineating areas susceptible to landslides through fixed wing imaging and analysing image data through the fuzzy logic machine learning. The methodology undertaken begins with the processing of fixed wing imagery and subsequent image recognition data acquisition. …”
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    Student Project
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    Fuzzy support vector machine based fall detection method for traumatic brain injuries: A new systematic approach of combining fuzzy logic with support vector machine to achieve hig... by Harum, Norharyati, Khalil, Mohamad Kchouri, Obeid, Ali, Hazimeh, Hussein

    Published 2022
    “…More specifically, some values of falls are inaccurate and similar to the features of normal activities, which can also greatly impact the performance of the learning ability of SVMs. Hence, it became necessary to look for an effective fall detection method based on a combination of Fuzzy Logic (FL) and SVM algorithms so as to reduce false positive alarms and improve accuracy. …”
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    Article
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    Developing an intelligent user manager system for controlling smart school network resources by Gani, Abdullah, Mouratidis, H., Abouzakhar, N.S., Manson, G.A.

    Published 2002
    “…Tropos was chosen because it covers four stages of development. The proposed system was modelled using Fuzzy Logic algorithms for simulation purposes in order to find the relationship between two fuzzy sets with the computed allocated time.…”
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    Article