Showing 1,621 - 1,640 results of 4,718 for search 'Rate and state function', query time: 0.18s Refine Results
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    Comparative assessment of the effect of anesthetics (propofol, sevoflurane, desflurane) on hemodynamics and gas exchange in the lungs during operations for acute pulmonary embolism by E. V. Taranov, N. K. Pastukhova, V. V. Pichugin, S. A. Fedorov, Yu. D. Brichkin, S. N. Nezabudkin, S. A. ZhIlyaev, K. I. Nikitin

    Published 2024-06-01
    “…The indicators of central hemodynamics, myocardial contractile function and the functional state of the lungs during the operation were studied.Results. …”
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  3. 1623

    Access selection algorithm for heterogeneous wireless network based on DA optimized fuzzy neural network by Zhihong QIAN, Yinuo FENG, Jiani SUN, Xue WANG

    Published 2020-12-01
    “…To solve the access selection problem of heterogeneous wireless network, an access selection algorithm based on dragonfly algorithm (DA) optimized fuzzy neural network (FNN) was proposed, considering the user’s business type and network state.In view of the low convergence speed of the fuzzy neural network, the dragonfly algorithm was used to optimize the membership function parameters of the second and fifth layers of the fuzzy neural network, so as to obtain the initial value of membership function parameters of the fuzzy neural network.The most suitable network was selected for the users according to their preference to the network and the output score of the network under different business types.The experimental results show that dragonfly algorithm optimization can improve the convergence speed of fuzzy neural network, improve system throughput, reduce blocking rate, and reduce switching times to some extent.…”
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  4. 1624

    Access selection algorithm for heterogeneous wireless network based on DA optimized fuzzy neural network by Zhihong QIAN, Yinuo FENG, Jiani SUN, Xue WANG

    Published 2020-12-01
    “…To solve the access selection problem of heterogeneous wireless network, an access selection algorithm based on dragonfly algorithm (DA) optimized fuzzy neural network (FNN) was proposed, considering the user’s business type and network state.In view of the low convergence speed of the fuzzy neural network, the dragonfly algorithm was used to optimize the membership function parameters of the second and fifth layers of the fuzzy neural network, so as to obtain the initial value of membership function parameters of the fuzzy neural network.The most suitable network was selected for the users according to their preference to the network and the output score of the network under different business types.The experimental results show that dragonfly algorithm optimization can improve the convergence speed of fuzzy neural network, improve system throughput, reduce blocking rate, and reduce switching times to some extent.…”
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    Article
  5. 1625
  6. 1626

    ATKB-PID: an adaptive control method for micro tension under complex hot rolling conditions by Xinkai Xu, Xiangrong Song, Zheng Qi

    Published 2025-01-01
    “…Furthermore, an objective function is tailored to production indices to enhance model performance. …”
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    Study on Resistance Loss of Fly Ash Slurry Multistage High-Pressure Grouting Pipeline Based on Fluent by Qiqing Wang, Linzhe Li, Huijie Wu, Kun Wang, Sixiang Wang

    Published 2024-01-01
    “…In order to understand the resistance loss along the way during multistage high-pressure slurry transportation, the flow state of fly ash slurry in the pipeline was simulated by Fluent software in this paper, and the effects of pipe diameter D, pipe transportation flow rate Q, and fly ash mass concentration Cw on the resistance loss along the pipeline were studied. …”
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    Stochastic Modeling and Availability Optimization of Nuts Manufacturing Plant Using Markov Process and Particle Swarm Optimization by Naveen Kumar, Ashish Kumar, Deepak Sinwar, Monika Saini

    Published 2024-12-01
    “…The availability function derived using Markov approach is treated as objective function of the optimization problem having decision parameters as failure and repair rates. …”
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