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According to the complexity of financial system, the model of credit risk assessment based on PSO algorithm and BP neural network integrated is proposed, which in order to improve the accuracy and reliability of risk assessment. First the neural network model of a credit risk evaluation is created, and then PSO algorithm is introduced to optimize the weight and threshold of the neural network, at...
Extraction and tracking of moving objects in video is desired for many real-time applications such as motion capture and surveillance, while it remains a great challenge. In this paper, an efficient algorithm for boundary tracking of moving objects in video has been proposed, based on motion prediction and directional edge matching. Unlike traditional tracking methods based on clustering, the proposed...
Error concealment with good restored video quality and low computational cost is significantly required for video streams transmitted in error-prone channels, especially for real-time applications. A fast and efficient spatial error concealment algorithm is proposed for intra-frames in the decoding phase, which utilizes a new matching criterion and avoids computational intensive tasks, such as edge...
A novel adaptive genetic algorithm (NAGA), which improves the global search ability and convergence of solutions by adjusting the crossover and mutation probability automatically, is presented for the design optimization of linear induction motors (LIM). Results by the proposed algorithm are compared with another algorithm to demonstrate the superiority and feasibility of the proposed NAGA.
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