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Link spam techniques can enable some pages to achieve higher-than-deserved rankings in the results of a search engine. They negatively affect the quality of search results. Classification methods can detect link spam. For classification problem, features play an important role. This paper proposes to derive new features using genetic programming from existing link-based features and use the new features...
An algorithm based on ant colony algorithm for health condition monitoring of aero-engine was put forward. The algorithm conversed the health status classification of aero-engine into solving the clustering-based optimization problem with constrain. Ant colony algorithm based on colony collaboration and learning could solve this clustering problem. The proposed algorithm was applied to monitor health...
Chaos-based encryption appeared recently in the early 1990s as an original application of nonlinear dynamics in the chaotic regime. In this paper, an implementation of digital image encryption scheme based on the extended chaotic reported. The chaotic cryptography technique used in this paper is a key cryptography. In this algorithm, the extended chaotic sequences were generated using-rank rational...
The sparse representation of signals/images plays a vital role in applications such as compression, enhancement, restoration and more. In recent years, several pioneering works suggested that signals/images could be represented sparsely by redundant dictionaries. This paper presents a novel method for image sparse decomposition by concatenating a redundant dictionary of several bases. The proposed...
This paper proposes a novel distributed agent model for network security evaluation. The method, which uses antibody concentration to quantitatively describe the degree of intrusion danger, is demonstrated. A new network security evaluation method using antibody concentration to quantitatively analyze the degree of intrusion danger level is presented. The method which uses antibody concentration to...
The paper first makes a thorough research on the method for analog circuit fault diagnosis based on kurtosis and negentropy, and then theoretically analyses it's advantage and disadvantage, which is followed by introducing the idea of centroid to overcome the method's shortcoming, making the improved method can extract the signal's feature more efficiency. Finally, it applies the improved method to...
The goal of this study is to develop a new procedure for the integration of computer aided design and analysis (ICADA) using absolute nodal coordinate formulation (ANCF). Bezier, B-spline and NURBS are widely used as geometric description in CAD system. A new computer procedure is introduced for the integration of geometric description and the ANCF finite element analysis. The procedure is based on...
Through analyzing the operating mechanism of the genetic algorithm, intelligent adaptive genetic algorithm (IAGA) is proposed whose crossover probability and mutation probability can be adjusted adaptively. Then IAGA is applied to optimize the weights and thresholds of the forward neural network, and establish soft-sensor model of gasoline endpoint of the main fractionator of fluid catalytic cracking...
We consider the least square regression with data dependent hypothesis and coefficient regularization algorithms based on general kernel. An explicit expression of the solution of this kernel scheme is derived. Then we provide a sample error with a decay of O(1/√m) and estimate the approximation error in terms of some kind of K-functional.
Saddle point algorithm is a new fast iterative method for linear programming, the program based on this algorithm has been widely used in many fields and shows better performance than other public domain programs. Sensitivity analysis is used to determine how the optimal solution is affected by changes, within specified ranges, in the objective function coefficients or the right-hand side values....
A multi-objective fuzzy dynamic programming model for Three Gorges cascaded hydropower is presented in this paper. Three Gorges cascaded hydropower is a multifunctional reservoir, and it plays a great role in power generation, shipping, ecology, etc. Many methods have being developed to solve the conflict among them. In this paper, we develop a single-objective fuzzy dynamic programming model firstly,...
The cognitive algorithm of multi-degree of freedom neurons (MDFNs) was an important implementation method for Bionic Pattern Recognition (BPR), which was computed by high dimensional Euclidean geometrics. This paper proposed a new method for computing the MDFNs based on Clifford algebra, and gave out the corresponding proves to this method. Especially, the computing expressions for Clifford distant...
In this paper, we address the problem of estimating the 3D structure and motion of a non-rigid object based on feature points throughout a image sequence. The main limitation of existing factorization methods is that they are difficult to provide correct structure and motion estimates: the motion matrix has a repetitive structure which is not represented by these methods. In order to cope with this...
Battlefield electromagnetic environment has become more and more complex under the background of information war. Strong interfering signals have seriously affected the quality of communication and reliability of information. To weaken or even eliminate the effect of the unwanted signal to the wanted one, genetic algorithm (GA) is utilized to optimize element current amplitudes in obtaining the needed...
Although data mining techniques are made tremendous progress, "knowledge-poor" is still a large gap of the current data mining systems. Few researches notice the fact that useful knowledge not only is the final results of an intelligent classification, clustering or prediction algorithm, but also runs through the whole process of data mining in which much potential useful information is...
The solution of large sparse network equations is a recurrent problem in almost every algorithm of power system simulation, which is widely used in offline analysis, online stability assessment and control. Nowadays, processor architectures are moving toward the integration of more cores on one chip, whilst traditional serial and parallel software can not fully exploit the performance of multi-core...
Aiming at the disadvantages of prediction model of single BP neural network, a prediction model was presented by combining AdaBoost algorithm and BP neural network for improving the forecasting accuracy of single BP neural network. A new updating method is proposed for the characters of ensemble BP neural network based on AdaBoost. The new method can update the model effectively and overcome the disadvantage...
Particle size distribution (PSD) constitutes a fundamental soil property correlated to many other soil properties. In this paper, we describe a multifractal approach to characterize particle-size distribution of loamy soil and use the information obtained to quantify the soil heterogeneity. Particle size distributions of the experimental samples were characterized by multifractal techniques, six loamy...
The paper set up regional logistics prediction model based on the chaotic nerve network according to regional logistics characteristic, judge regional logistics chaotic characteristic Utilize phase space reconstruction technology at first, Positive Lyapunov exponent and correlation dimension prove the regional logistics has Chaotic characteristics. Then set up neural network prediction models on the...
In this paper, the off-line Chinese character image is transformed into ellipse shape of basic Chinese characters strokes in different position. The stroke "turning" and joint or crossover of strokes is combined by basic strokes. The neural network for extracting Chinese character has been build up. The research on off-line Chinese character image is transformed into the research on double...
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