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With the development of financial liberty and integration, Chinese commercial bank will be confronted with severe circumstance in the course of financial revolution, which will bring about the commercial bank's more and more credit risk. It is very necessary to research and grasp completely and systematically the characteristic, manifest and reason, and construct the early warning system of the commercial...
A method for the traffic signal recognition of his color space and bp neural network algorithm. First convert the traffic signal images from RGB space to HSI space, and then extracted H Component characteristics from HSI space in the traffic signal images, according to the Component histogram, determine the signal color. Finally, BP neural network is applied for the traffic signal lights recognition...
The problem of end effects in Hilbert-Huang transform is produced in the Empirical Mode Decomposition (EMD), which has a badly effect on Hilbert-Huang transform. In order to overcome this problem, multi-objective Genetic Algorithm (GA) for solving the parameters selection of RBF Neural Network (RBF_NN) (GRHHT) is presented in this paper. Then the RBF_NN is used to predict the signal before EMD. The...
The end effects of Hilbert-Huang transform are produced in the Empirical Mode Decomposition(EMD) and the Hilbert transform for Intrinsic Mode Functions(IMF), which have a badly effect on Hilbert-Huang transform. In order to overcome this problem, the multi-objective allocation Genetic Algorithm (GA) to solve the kernel parameters selection of Least Squares Support Vector Machine (LSSVM)(GLHHT) is...
Cognitive radio is an intelligent wireless communication system, which can dynamically adjust its parameters depending on environment change and service demands to improve system performance. As the parameter adjustment of CR is a typical multi-objective optimization problem, this paper proposes a scheme of CR-optimized engine based on the Discrete Uniform Genetic Algorithm (DUGA), considering the...
Resources optimization of cross-layer is a typical multi-objective optimization problem. In this paper, an adaptive clone and neighbor selection algorithm is proposed to resolve optimization resources allocation in cognitive radio networks (CRNs). The algorithm uses the adaptive cloning operator, neighborhood search operator to improve the performance of algorithm. Simulation comparisons for typical...
Cognitive radio (CR) wireless parameter optimization is a typical multi-objective optimization problem. In order to optimize wireless parameters, a non-dominated neighbor distribution multi-objective genetic algorithm (NNDA) is presented in this paper. Based on non-dominated sorting, NNDA increases the probability that superior individuals pass down to next generation by crowding distance and distribution...
To solve the problem of monocular-vision-oriented landmark recognition for mobile intelligent robot marching with complex background, a kind of landmark extraction algorithm which fused with transcendental color information and based on tabu-genetic search algorithm is proposed, and the convergence analysis of this algorithm is presented. Firstly, a novel experiment threshold based on RGB vision model...
With the increased popularity of replica-based services in distributed systems such as the Grid, consistency control among replicas becomes more and more important. To this end, IDF (inconsistency detection framework), a two-layered overlay-based architecture, has been proposed as a new way to solve this problem-instead of enforcing a predefined consistency control protocol, IDF detects inconsistency...
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