Search alternatives:
based optimization » whale optimization (Expand Search)
binary cases » binary values (Expand Search), binary labels (Expand Search), binary mask (Expand Search)
cases based » case based (Expand Search), scores based (Expand Search), values based (Expand Search)
less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
based optimization » whale optimization (Expand Search)
binary cases » binary values (Expand Search), binary labels (Expand Search), binary mask (Expand Search)
cases based » case based (Expand Search), scores based (Expand Search), values based (Expand Search)
less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
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MSE for ILSTM algorithm in binary classification.
Published 2023“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …”
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Performance of different ensemble algorithms for optimal partitioning policy.
Published 2024Subjects: -
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Performance of different ensemble algorithms for optimal offloading policy.
Published 2024Subjects: -
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Algorithm of the PbGA search for the optimal PbF.
Published 2024“…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …”
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Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement
Published 2019“…The primary aim of this study was to demonstrate the computational benefits of using AD instead of FD in OpenSim-based trajectory optimization of human movement. …”
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