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In the sparse Photoacoustic Microscopy system, a uniform random sampling scheme and low-rank matrix approximation-GoDec algorithm have been proposed for fast data acquisition and image recovery. However, this low-rank approximation algorithm leads to low resolution and fuzzy structure details. In this paper, the weighted Singular Value Thresholding algorithm is first applied in sparse PAM system to...
The NURBS-based isogeometric analysis (IGA) has been applied to wide classes of engineering problems due to its accurate geometric description. One of the major concerns with IGA is finding an efficient way to treat boundary conditions. Many studies show that the results can maintain accuracy, where the boundary conditions are enforced by the penalty method. However, the inappropriate selection of...
Planning of the mobile robot is one of the core research areas which is complex, binding and non-linear. Ant colony algorithm is an intelligent optimization algorithm developed in recent years. Aiming at the problems of the ant colony algorithm such as slow convergence speed and long computation cycle, in order to improve the efficiency of route planning, proposed using improved ant colony algorithm...
In this paper, the main attention is focused on transient property of control input signal, we propose a novel adaptive controller for time-continuous single-input single-output linear systems with an input saturation in which i-th derivatives of the output signal (i = 1, …, relative degree) are available. In the proposed adaptive controller, arbitrary deterministic signals can be used as an input...
In CBR system, the case base is becoming increasingly larger with the incremental learning which results in the decline of case retrieval efficiency and its weaker performance. Aiming at such weakness of CBR system, this article proposes a novel case retrieval method based on Hybrid Ant-Fish Clustering Algorithm (HA-FC). At beginning of algorithm, we get rough cluster sets utilizing the advantage...
In this paper, the main attention is focused on transient property of control input signal, we propose a novel adaptive controller for time-continuous single-input single-output linear systems with an input saturation in which i-th derivatives of the output signal (i = 1, ??????, relative degree) are available. To improve the control performance, a novel estimator using an observer for the tracking...
The Particle Swarm Optimization (PSO) plunges into the local minimum easily. In order to overcome this shortcoming, we propose an improved PSO algorithm with the features of linearly decreasing of inertia weight and the re-initialization of the particle when it gets stagnated. The improved PSO is a local PSO and its topology is wheels. From the experimental results of three non-linear testing functions...
The shortcomings of some existing Particle Swarm Optimization (PSO) algorithms are analyzed and an improved discrete PSO algorithm with wheels topology which updates the particles' positions by using swap operator, swap sequence and partially matched crossover based on the local PSO is proposed in the present study. A mutation process in which all the particles are reinitialized when the swarm is...
We address the problem of routing mobile agent with fusion cost in WSN under two scenarios: all source nodes, and a part of source nodes to be visited, respectively. Two objective functions in terms of minimizing transmission and fusion energy expenditure in the two scenarios are formulated, and proved to be NP-complete. Furthermore, we propose a two-level encoding based genetic algorithm (GA) to...
The problem of computing a route for a mobile agent to local regions or specified nodes in a distributed sensor network is considered, both in a single region or multi-region cases. With all specified nodes visited, this paper formulates the route computation problem in terms of minimizing an objective function, which is directly proportional to the energy consumption and path loss. Further, we propose...
The strong nonlinear relation between the training sample's impact on the errors and error's derivatives is the fundamental reason underlying the low learning efficiency of the multi-layer forward neural networks. Effectively decreasing the degree of the nonlinear relation and its impact on network learning is critical to improve the neural network's training efficiency. Based on the above idea, this...
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