Search alternatives:
weight optimization » joint optimization (Expand Search)
design optimization » bayesian optimization (Expand Search)
binary sample » final sample (Expand Search), binary people (Expand Search), intra sample (Expand Search)
sample design » sampling design (Expand Search)
binary model » final model (Expand Search), injury model (Expand Search), tiny model (Expand Search)
model weight » model weights (Expand Search), body weight (Expand Search), model which (Expand Search)
weight optimization » joint optimization (Expand Search)
design optimization » bayesian optimization (Expand Search)
binary sample » final sample (Expand Search), binary people (Expand Search), intra sample (Expand Search)
sample design » sampling design (Expand Search)
binary model » final model (Expand Search), injury model (Expand Search), tiny model (Expand Search)
model weight » model weights (Expand Search), body weight (Expand Search), model which (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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DE algorithm flow.
Published 2025“…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
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Test results of different algorithms.
Published 2025“…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
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