In this paper, a hybrid Good Point Set-evolutionary strategy is applied to solve the problem of tuning both network structure and parameters of a feedforward neural network. PSO frame can make the resulting evolutiona...
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Extrusion of molten plastic onto wire and other metal shapes requires very close control of numerous variables to ensure consistent product quality at maximum production rates. To accomplish a higher extruder performa...
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A novel algorithm for controlling Logistic chaotic system based on Chebyshev neural network (Chebyshev-NN) is presented. In the algorithm, Chebyshev orthogonal polynomials are applied to activation function of neural ...
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Superconvergence and recovery a posteriori error estimates of the finite element ap- proximation for general convex optimal control problems are investigated in this paper. We obtain the superconvergence properties of...
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Superconvergence and recovery a posteriori error estimates of the finite element ap- proximation for general convex optimal control problems are investigated in this paper. We obtain the superconvergence properties of finite element solutions, and by using the superconvergence results we get recovery a posteriori error estimates which are asymptotically exact under some regularity conditions. Some numerical examples are provided to verify the theoretical results.
The techniques for face detection and facial features detection have evolved separately with little overlap. However our brains seem to process the different vision tasks in the interactive and cooperative ways. So we...
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The techniques for face detection and facial features detection have evolved separately with little overlap. However our brains seem to process the different vision tasks in the interactive and cooperative ways. So we present a new method for facial landmarks detection. It can share the mutual features with face detection and finds the landmarks by regression. The method is fast and slim because of the shared computing and discriminative detection. Its accuracy is also promising. Additionally we show the application of the method for human body features detection.
Caricature synthesis is becoming one of the most challenging research problems nowadays, especially for 3D caricature. In this paper, we present a novel approach for 3D caricature synthesis adopting genetic sampling i...
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The paper gives an overview of the security issue on WiMax, which is a new and hot research point for telecommunication and computer scientist. In the IEEE 802.11 technology, security was added later while IEEE 802.16...
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In order to improve the invisibility and t he robustness of semi-fragile watermarking, the paper first brings up the idea which embedding watermark based on the attacks' characteristic,brings forward th e region s...
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Concept lattice was creatively used in policy based network management in this study. It takes much time for a conflict detection routine to search every rule in a policy rule set with conventional algorithms to see i...
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In this paper, a cluster-based data gathering algorithm ECDGA for mobile wireless sensor networks is proposed. Network model includes mobile nodes and fixed nodes. The former constructs cluster by self-organizing acco...
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In this paper, a cluster-based data gathering algorithm ECDGA for mobile wireless sensor networks is proposed. Network model includes mobile nodes and fixed nodes. The former constructs cluster by self-organizing according to the distance between the fixed nodes nearby and themselves. The latter selects cluster head in accordance with the residual energy and location of the mobile nodes around, and bears the task of inter-cluster data transmitting. Cluster head is responsible for data collection and data fusion. The experimental results show that ECDGA algorithm has a good performance in the network lifetime and reliability.
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