Search Results - (( developing knowledge hybrid algorithm ) OR ( java implication based algorithm ))
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Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…These proves that without prior knowledge, the hybrid AI algorithm can self-learn. …”
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A Knowledge Management System for Assessing Lecturer Competence in Indonesian Higher Educational Institutions
Published 2025“…The role of the Knowledge Management System (KMS) in developing lecturer competencies is very important because it is practically easy to access and allows independent competency development. …”
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Enhancing generality of meta-heuristic algorithms through adaptive selection and hybridization
Published 2018“…In line with the no free lunch theorem (), this paper argues that rather than focusing on designing new algorithm, new research should focus on adaptive hybridization of meta-heuristics algorithms in order to compensate the limitation of one with the strengths of another. …”
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Synergizing intelligence and knowledge discovery: Hybrid black hole algorithm for optimizing discrete Hopfield neural network with negative based systematic satisfiability
Published 2024“…Based on the findings, the development of the new systematic SAT and the implementation of the Hybrid Black Hole algorithm to optimize the retrieval capabilities of DHNN to achieve multi-objective functions result in updated final neuron states with high diversity, high attainment of global minima solutions, and produces states with a low similarity index. …”
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Development of intelligent hybrid learning system using clustering and knowledge-based neural networks for economic forecasting : First phase
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Hybrid Neural Networks and Genetic Algorithm for Fault Detection and Diagnosis of a Plant
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A hybrid algorithm for improving the quality of service in MANET
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The exploration of hybrid metaheuristics-based approaches: A bibliometric analysis
Published 2025“…The rapid evolution of computational intelligence has driven significant interest in hybrid metaheuristics, which combine multiple optimization algorithms to solve complicated problems more efficiently. …”
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