In this paper, we propose a novel regularization algorithm that is introduced as a penalty term to the loss function. Differing from conventional L1 and L2 regularization methods, our approach does not aim to diminish...
In this paper, we propose a novel regularization algorithm that is introduced as a penalty term to the loss function. Differing from conventional L1 and L2 regularization methods, our approach does not aim to diminish the weights of individual neurons or enforce sparsity by driving certain neurons to zero. Instead, it functions by increasing the differences between neurons and enhancing the diversity of neurons within each layer. Our method incorporates ensemble learning techniques by treating the layer weight matrix as a collective learning model, where each neuron serving as a weak learner within the layer. The proposed algorithm improves the performance of DCNN by simultaneously considering the distance between multiple filters in the same layer. This algorithm reduces the redundancy of the parameter layer filters in DCNN and enhances its robustness. The penalty term proposed by our algorithm dynamically adjusts its value in a cyclical manner, compelling the neural network to navigate away from its current gradient state. In the parameter space, different weights correspond to different locations. The proposed algorithm quantifies the distance between neurons and iteratively increases the distance between neurons during thereby encouraging greater diversity within the network. Experimental evaluations demonstrate the effectiveness of our algorithm in enhancing neural network performance without requiring adjustments to other hyper-parameters.
Inter-femtocell interference becomes serious when femtocells are densely deployed. To mitigate the inter-femtocell interference, this paper proposes a cluster-based bandwidth allocation algorithm. We create femtocell ...
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Inter-femtocell interference becomes serious when femtocells are densely deployed. To mitigate the inter-femtocell interference, this paper proposes a cluster-based bandwidth allocation algorithm. We create femtocell clusters by constructing a weighted interference graph and allocate bandwidth to each cluster based on a Nash bargaining solution(NBS). Simulation results show that the cluster-based bandwidth allocation algorithm can reduce the inter-femtocell interference and meet the minimum rate constraint of each cluster.
This paper deals with the formation control problem for a group of quadrotor unmanned aerial vehicles (UAVs) through a modified dynamic event-triggered control protocol. The stability proof for the state space origin ...
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Based on multi-machine excitation control models, using fuzzy adaptive theory and considering the muti-machine nonlinear system whose states are not available, observer-based adaptive fuzzy output feed back control sc...
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To tackle the multi-objective problem in the process of tandem cold rolling, a mathematical model of multi-object optimization is presented. Taking equal relatively power and prevent slippage as objective functions. A...
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In this paper,adaptive finite time consensus control problem is investigated for multiple mechanical systems with *** adaptive distributed control algorithms are proposed for the multiple mechanical systems under a sw...
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ISBN:
(纸本)9781509009107
In this paper,adaptive finite time consensus control problem is investigated for multiple mechanical systems with *** adaptive distributed control algorithms are proposed for the multiple mechanical systems under a switching undirected graph,which is addressed through a novel Markov *** any detailed information of the system model,the adaptive distributed controller has a faster and higher precision tracking *** is shown that the states of the mechanical systems can reach a consensus within finite *** finally,an illustrative simulation on the multiple robotic manipulators is given to demonstrate the effectiveness of the proposed controller.
Hydraulic screwdown system of cold strip mill is nonlinear, time-variant system and it is disturbed by many factors, so the turning quality of controller influences the accuracy of Automatic Gauge control (AGC). In th...
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A novel switching-based backstepping sliding mode control(SBSMC) scheme is devised for the space manipulator exposed to different *** a view to distinct differences in dynamics properties when the operating conclition...
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A novel switching-based backstepping sliding mode control(SBSMC) scheme is devised for the space manipulator exposed to different *** a view to distinct differences in dynamics properties when the operating conclition of space manipulator changer,the space manipulator can be thought of as a system composed of two subsystems,the ground subsystem and the space *** different types of backstepping sliding mode(BSM) controllers are designed,one is suited for the ground subsystem and the other is for the space *** switching between two subsystems can be implemented automatically when the switching mechanism is triggered,and the controllers for their subsystems experience synchronous *** this way,the space manipulator always has good behaviors in trajectory ***,multi-Lyapunov functions are introduced to prove the stability of this switching *** to simulation results,the method constructed in this research has better performance in control precision and adaptability compared with proportional-derivative(PD) control.
Deploying reconfigurable intelligent surfaces (RIS) in vehicular networks can effectively improve the quality of wireless channel and increase network throughout, which is realized by optimizing the phase shifters. Ho...
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With the emergence of increasingly complex modern energy networks, there is a need for flexible and reliable methods to solve economic dispatch problems in smart grids. For this purpose, a broadcast gossip algorithm i...
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