An adaptive learning control scheme intended to the on-lineoptimization of sculptured. The scheme uses a back-propagation neuralnetwork to learn the relationships between process inputs and processstates. The cutting ...An adaptive learning control scheme intended to the on-lineoptimization of sculptured. The scheme uses a back-propagation neuralnetwork to learn the relationships between process inputs and processstates. The cutting parameters of the process model are optimizedthrough a genetic algorithms(GA). The capacity of the proposed schemefor determining optimum process inputs under a variety of processconditions and optimization strategies is evaluated on the basis ofmilling of a sculptured surface using a ball-end mill. Theexperimental results show that the neural network could model thecutting process efficiently, and the cutting conditions such asspindle speed could be regulated for achieving high efficiency andhigh quality. Therefore the proposed approach can be well applied tothe manufacturing of dies and molds.展开更多
城市作战的重要性日益凸显,城市作战路径规划也受到了更多的关注。如何在城市复杂的环境和众多危险区中寻找安全迅速的路径是非常重要的。为保障作战安全,提出了一种基于选拔科特鸟和路径缩减的不规则危险区路径规划算法。首先,结合城...城市作战的重要性日益凸显,城市作战路径规划也受到了更多的关注。如何在城市复杂的环境和众多危险区中寻找安全迅速的路径是非常重要的。为保障作战安全,提出了一种基于选拔科特鸟和路径缩减的不规则危险区路径规划算法。首先,结合城市危险区特征和受限情况以构建更符合真实战场的不规则危险区数学模型。其次,建立路径空间缩减模型对路径威胁度进行评估和量化,以剔除掉高威胁路径来降低作战风险。最后,基于选拔策略的科特鸟优化算法(COOT Bird Optimization Algorithm based on Selection Strategy,SS-COOT)结合优质个体以提高算法的寻优效率。经实验验证,该算法在结合不规则危险区的城市路径规划问题上具有搜索速度快、寻优效果好的特点。展开更多
文摘An adaptive learning control scheme intended to the on-lineoptimization of sculptured. The scheme uses a back-propagation neuralnetwork to learn the relationships between process inputs and processstates. The cutting parameters of the process model are optimizedthrough a genetic algorithms(GA). The capacity of the proposed schemefor determining optimum process inputs under a variety of processconditions and optimization strategies is evaluated on the basis ofmilling of a sculptured surface using a ball-end mill. Theexperimental results show that the neural network could model thecutting process efficiently, and the cutting conditions such asspindle speed could be regulated for achieving high efficiency andhigh quality. Therefore the proposed approach can be well applied tothe manufacturing of dies and molds.
文摘城市作战的重要性日益凸显,城市作战路径规划也受到了更多的关注。如何在城市复杂的环境和众多危险区中寻找安全迅速的路径是非常重要的。为保障作战安全,提出了一种基于选拔科特鸟和路径缩减的不规则危险区路径规划算法。首先,结合城市危险区特征和受限情况以构建更符合真实战场的不规则危险区数学模型。其次,建立路径空间缩减模型对路径威胁度进行评估和量化,以剔除掉高威胁路径来降低作战风险。最后,基于选拔策略的科特鸟优化算法(COOT Bird Optimization Algorithm based on Selection Strategy,SS-COOT)结合优质个体以提高算法的寻优效率。经实验验证,该算法在结合不规则危险区的城市路径规划问题上具有搜索速度快、寻优效果好的特点。
