Some recent research reports that a dendritic neuron model(DNM)can achieve better performance than traditional artificial neuron networks(ANNs)on classification,prediction,and other problems when its parameters are we...
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Some recent research reports that a dendritic neuron model(DNM)can achieve better performance than traditional artificial neuron networks(ANNs)on classification,prediction,and other problems when its parameters are well-tuned by a learning ***,the back-propagation algorithm(BP),as a mostly used learning algorithm,intrinsically suffers from defects of slow convergence and easily dropping into local ***,more and more research adopts non-BP learning algorithms to train *** this paper,a dynamic scale-free network-based differential evolution(DSNDE)is developed by considering the demands of convergent speed and the ability to jump out of local *** performance of a DSNDE trained DNM is tested on 14 benchmark datasets and a photovoltaic power forecasting *** meta-heuristic algorithms are applied into comparison,including the champion of the 2017 IEEE Congress on Evolutionary Computation(CEC2017)benchmark competition effective butterfly optimizer with covariance matrix adapted retreat phase(EBOwithCMAR).The experimental results reveal that DSNDE achieves better performance than its peers.
Image fuzzy enhancement is a research hotspot in the field of image processing, which aims to recover enhanced beginning clear images from degraded images. Based on the research of traditional particle swarm optimizat...
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The paper proposes a switching multi-regulator control for an electro-hydraulic servo system with throttle regulation. The architecture of the multi-regulator control, composed of three conventional regulators (PID1, ...
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Discoloration defect detection is a significant task in the wood industry for ensuring the appearance and quality of wooden products. However, discoloration defect detection still faces some challenges due to the low ...
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Blended learning integrates online and face-to-face (FTF) teaching methods to offer students in higher education a flexible and customized educational experience. Despite its significant advantages in promoting academ...
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This paper aims to design a denial-of-service attack strategy that maximizes the LQG cost over a finite time. During each attack instance, the attacker chooses from multiple energy levels and expends attack energy to ...
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This paper presents an original theoretical framework to model steel material properties in continuous casting line process. Specific properties arising from non-Newtonian dynamics are herein used to indicate the natu...
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This paper presents an original theoretical framework to model steel material properties in continuous casting line process. Specific properties arising from non-Newtonian dynamics are herein used to indicate the natural convergence of distributed parameter systems to fractional order transfer function models. Data driven identification from a real continuous casting line is used to identify model of the electromagnetic actuator device to control flow velocity of liquid steel. To ensure product specifications, a fractional order control is designed and validated on the system. A projection of the closed loop performance onto the quality assessment at end production line is also given in this paper.
To solve the trajectory tracking control problem of a rigid manipulator system in the case of unexpected actuator failure, considering the uncertainty of system parameters and bounded disturbance, an adaptive fault-to...
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Telecommunication technology is rapidly evolving, accompanied by an increase in service requirements such as higher bandwidth and service accessibility. Transferring data at high speeds and the system performance are ...
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The paper proposes a switching multiparametric control for an electrohydraulic servo system with throttle regulation. The architecture of a MISO (Multiple Input Single Output) control is considered, consisting of a co...
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