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Titlebook: Neural Computing for Advanced Applications; Third International Haijun Zhang,Yuehui Chen,Yimin Yang Conference proceedings 2022 The Editor

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31#
發(fā)表于 2025-3-26 23:32:47 | 只看該作者
32#
發(fā)表于 2025-3-27 03:58:58 | 只看該作者
and ,rged environment location, BPNN is included on the premise of this controller to design Detect type AUV based on BPNN and PID control. Firstly, online parameter setting is realized through BPNN’s automatic learning characteristic, which overcomes the complex and unsteady issue of conventional PID co
33#
發(fā)表于 2025-3-27 08:08:30 | 只看該作者
34#
發(fā)表于 2025-3-27 11:29:11 | 只看該作者
,A Perception Method Based on?Point Cloud Processing in?Autonomous Driving,ngs autonomously. At present, the most commonly used sensors in the field of driverless cars are RGB-D camera and LIDAR. Therefore, how to process the environmental information collected by these sensors, and extract the features we are interested in, and then use them to guide the driving of unmann
35#
發(fā)表于 2025-3-27 16:54:24 | 只看該作者
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發(fā)表于 2025-3-27 19:05:57 | 只看該作者
37#
發(fā)表于 2025-3-28 01:59:10 | 只看該作者
38#
發(fā)表于 2025-3-28 02:21:34 | 只看該作者
,Traffic Congestion Event Mining Based on?Trajectory Data,plied to trajectory data. TCE can be defined in terms of time, location, average speed, and degree of congestion. Then methods are designed to extract TCE from massive trajectory data. Specifically, an efficient method is developed that combines NumPy’s customized universal function to calculate the
39#
發(fā)表于 2025-3-28 06:23:51 | 只看該作者
,Many-Objective Evolutionary Algorithm Based on?Dominance and?Objective Space Decomposition,re than four. The complexity of MOPs grows rapidly in size with the number of objectives, making the problem quickly intractable. Though various many-objective evolutionary algorithms (MaOEAs) have been proposed to solve MaOPs, it is difficult to balance the convergence and population diversity. In
40#
發(fā)表于 2025-3-28 14:14:20 | 只看該作者
,A New Unified Control Approach for?Finite-/Fixed-Time Synchronisation of?Multi-weighted Dynamical Nl networks (MWDNs). Firstly, a new unified FTT/FXT stability results is assessed for nonlinear dynamical systems, wherein a more accurate approximation of the settling time is acquired. Secondly, a novel feedback controller is designed for a class of MWDNs and a unified sufficient condition is obtai
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