DEMUR 发表于 2025-3-26 23:03:58
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Guojun Li,Di Zhang,Yongxin Lin,Jiawei Wange present work aims at developing a numerical solution for the optimal power allocation scheme via variations of the biogeography-based optimization algorithm. The proposed algorithms have been tested for several case studies, and their performances are compared with constrained versions of the diff蚊帐 发表于 2025-3-27 19:01:59
Guojun Li,Di Zhang,Yongxin Lin,Jiawei Wang experimental framework. Furthermore, for the MRE-based dynamic threshold optimization problem, a closed-form solution is proposed. This solution brings a theoretical lower bound on the operating signal-to-noise ratio concerning when the tracking system should be switched to the track-before-detectSYN 发表于 2025-3-28 00:13:47
Luzhen Wu,Ming ShangGuan,Xu Chengired filter specification. The results presented show that filters designed using PSO-QI most closely match the design specification, and their performance is more consistent when compared with other evolutionary algorithms. The results are compared with the constrained least squares method of filtecardiopulmonary 发表于 2025-3-28 02:32:08
http://reply.papertrans.cn/15/1482/148190/148190_38.pngLAY 发表于 2025-3-28 08:08:34
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Lecture Notes in Electrical Engineeringthose already reported for back propagation neural network (BPNN), learning vector quantization (LVQ), and least-square support vector machine (LS-SVM) based classification algorithms. With time-domain features, the proposed modular ERNNs outshined the other classifiers by attaining 90.3–98.5 % clas