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Aiming at false negative rate and false alart rate which exist generally in the intrusion detection system, a intelligent intrusion detection model is proposed in this paper. Based on the characteristics of global superiority of genetic algorithm and locality of nerve, the model optimizes the weights of the neural network using genetic algorithm. Experiment results show that the intelligent way can...
A multiobjective optimal service restoration methodology for shipboard power system (SPS) using a simulated annealing genetic algorithm is presented. All the multiple objective functions related to restoration problem for SPS are formulated as fuzzy sets. An analytic hierarchy process (AHP) is adopted to determine the weighted factors of each objective functions which is more convenient to be apprehended...
Accurate electricity price forecasting can provide crucial information for electricity market participants to make reasonable competing strategies. Support vector machine (SVM) is a novel algorithm based on statistical learning theory, which has greater generalization ability, and is superior to the empirical risk minimization principle as adopted by traditional neural networks. However, its generalization...
An enhanced image segmentation of IR thermal images based on two-dimensional classes square error is discussed. Aimed at the low distinguish ability, low SNR of IR thermal images and very high computation cost of image segmentation of two-dimensional classes square error, a new image segmentation algorithm based on chaos-genetic algorithms is proposed. The experimentspsila results show that, because...
Edge detection of images is a classical problem in computer vision and image processing. The key of edge detection is the choice of threshold; the choice of threshold directly determines the results of edge detection. How to automatically determine an optimal threshold is one of difficult points of edge detection. In this paper, Sobel edge detection operator and its improved algorithm are first discussed...
Strategy of locating distribution centers with maximum utility and minimum cost was studied. The cost was categorized as transportation cost, variable cost, and fixed cost, and each of them was detailed categorized. Problem was reduced as a cost optimum model, which intended to figure out where to locate distributing centers with both maximum utility and minimum sum of transport cost, variable cost...
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