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GPSOM: group-based particle swarm optimization with multiple strategies for engineering applications
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A hybrid optimization method by incorporating adaptive response strategy for Feedforward neural network
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A Hybrid PSO-GA Optimized Approach for COVID-19 Detection Using CT Scan
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Risk Assessment of Supplier R&D Investment Based on Improved BP Neural Network
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Short-Term Wind Power Prediction Model Based on PSO-CNN-LSTM
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Optimization of soil hydraulic parameters within a constrained sampling space
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Automated Pruning Framework for Large Language Models Using Combinatorial Optimization
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A deep learning-based hybrid method for PM2.5 prediction in central and western China
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Research on Motion Transfer Method from Human Arm to Bionic Robot Arm Based on PSO-RF Algorithm
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An enhanced Walrus Optimizer with opposition-based learning and mutation strategy for data clustering
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State of Charge Estimation on Lithium-Ion Batteries Using Particle Swarm Optimization Method
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HEALTH CLAIM INSURANCE PREDICTION USING SUPPORT VECTOR MACHINE WITH PARTICLE SWARM OPTIMIZATION
Published 2023-06-01“…Parameter selection of SVM is normally done by trial and error so that the performance is less than optimal. Some optimization algorithms based heuristic optimization can be used to determine the best parameter values of SVM, for example Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). …”
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