Evolutionary programming algorithm is applied to the problem of image clustering. The solution of the problem is encoded by the symbol coding, and swarm intelligent model is used to search the solution of the problem....
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ISBN:
(纸本)9781510880504
Evolutionary programming algorithm is applied to the problem of image clustering. The solution of the problem is encoded by the symbol coding, and swarm intelligent model is used to search the solution of the problem. In evolutionary programming algorithm, the global search ability is effectively improved by mutation operator and selection operator. The excellent diversity of solutions is guaranteed by using Gaussian mutation operator, and the complexity of the evolutionary operation is reduced. The simulation experiments show that the proposed algorithm for image clustering is effective and correct.
Clonal selection algorithms (CSAs) are a kind of Artificial Immune Algorithms (AIAs). In this paper, recent advances in clonal selection algorithms are summarized and reviewed. First, the basic framework of clonal sel...
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Clonal selection algorithms (CSAs) are a kind of Artificial Immune Algorithms (AIAs). In this paper, recent advances in clonal selection algorithms are summarized and reviewed. First, the basic framework of clonal selection algorithms is given. Second, various types of applications using clonal selection algorithms are summarized, including global optimization, constrained optimization, combinatorial optimization, multiobjective optimization, dynamic optimization and other applications. Last, a brief conclusion and some remarks about clonal selection algorithms are given.
In this paper, the combination of Near-Infrared (NIR) spectroscopy and a novel forecasting algorithm called XGBoost was proposed for food internal quality evaluation. First, the original NIR spectral data was preproce...
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With the popularity of small storage embedded devices, recent researches on deep convolutional neural networks no longer only focus on improving the classification accuracy but start to attach great importance to the ...
With the popularity of small storage embedded devices, recent researches on deep convolutional neural networks no longer only focus on improving the classification accuracy but start to attach great importance to the size of convolutional neural networks. This paper proposes a small deep convolutional neural network for vehicle type classification, based on the Fire module and the residual module. The Fire module is applied to maintain a small number of parameters. The residual module is employed to accelerate the training process and improves the classification accuracy. Experimental results show that our model achieves 95.57% accuracy of vehicle type classification on an open source dataset BIT-Vehicle. This outperforms previous researches and some classical convolutional neural networks such as AlexNet, ResNet-32 and SqueezeNet. What is more, the size of our model is only 5.3 MB, which has 40X fewer parameters than AlexNet and has 15X fewer parameters than ResNet-32.
作者:
刘凤连孙梦尧蔡文娜Key Laboratory of Computer Vision and System
Ministry of Education of ChinaTianjin Key Laboratory of Intelligence Computing and Novel Software TechnologySchool of Computer and Communication EngineeringTianjin University of TechnologyTianjin 300384China
This paper presents an image denoising method based on bilateral filtering and non-local means. The non-local region texture or structure of the image has the characteristics of repetition, which can be used to effect...
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This paper presents an image denoising method based on bilateral filtering and non-local means. The non-local region texture or structure of the image has the characteristics of repetition, which can be used to effectively preserve the edge and detail of the image. And compared with classical methods, bilateral filtering method has a better performance in denosing for the reason that the weight includes the geometric closeness factor and the intensity similarity factor. We combine the geometric closeness factor with the weight of non-local means, and construct a new weight. Experimental results show that the modified algorithm can achieve better performance. And it can protect the image detail and structure information better.
Polymorphic circuits are a special kind of circuits which possess multiple build-in functions, and these functions are activated by environment parameters, like temperature, light and VDD. The behavior of a polymorphi...
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Polymorphic circuits are a special kind of digital logic components, which possess multiple build-in functions. In different environments, a polymorphic circuit would perform different functions. Evolutionary Algorith...
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All kinds of intelligent terminal equipment emerge in endlessly and grow explosively. Typical devices, such as smartphones and tablets, are becoming more and more popular, furthermore, intelligent equipment market sha...
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All kinds of intelligent terminal equipment emerge in endlessly and grow explosively. Typical devices, such as smartphones and tablets, are becoming more and more popular, furthermore, intelligent equipment market share has more than that on PCs. And on mobile devices area, the demand for virtualization technology is gradually increasing. As an important branch of computer technology development, operating system level virtualization is becoming a hot spot of current research due to its low overhead and the advantages of lightweight. In this paper, based on the Android system on mobile devices, implement a prototype which can run multiple virtual system instances on only an Android OS by modifying the namespace mechanism in the Linux kernel to and expand into driver namespace mechanism. In addition, put forward a model called the active-inactive model guaranteeing the process if and only if in the active namespace to operate the device drivers, which was designed and implemented a new scheme of operating system level virtualization.
Polymorphic circuits are a special kind of circuits which possess some different build-in functions and these functions are activated by environment parameters, like light and VDD. Some theories have been proposed to ...
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In this paper, a hybrid Genetic Algorithm (GA) is proposed to solve the Vehicle Routing Problems with Dynamic Requests (VRPDR). The proposed hybrid GA primarily involves the following parts. First, a greedy split is i...
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In this paper, a hybrid Genetic Algorithm (GA) is proposed to solve the Vehicle Routing Problems with Dynamic Requests (VRPDR). The proposed hybrid GA primarily involves the following parts. First, a greedy split is introduced, which is fit for the VRPDR. Second, the adjacent-exchange-based local search is proposed. Third, a novel mutation operator, named the insert mutation, is proposed. The experimental results show that the proposed hybrid GA is effective.
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