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As an effective global search method, genetic algorithm has obvious advantages. But it usually has problems of premature convergence and local optimum in practical application. According to this, a new algorithm with improved selection, crossover and mutation is proposed. Through the simulation experiments, the improved algorithm shows its faster convergence and better stability. It is valid which...
Support Vector Machine (SVM) is a useful technique for data classification with successful applications in different fields of bioinformatics, image segmentation, data mining, etc. A key problem of these methods is how to choose an optimal kernel and how to optimize its parameters in the learning process of SVM. The objective of this study is to propose a Genetic Algorithm approach for parameter optimization...
DDoS attack is a major Internet security problem-DoS is that lots of clients simultaneously send service requests to certain server on the internet such that this server is too busy to provide normal services for others. Attackers using legitimate packets and often changing package information, so that traditional detection methods based on feature descriptions is difficult to detect it. This paper...
In the twenty-first century, a company has to organize around the customers in order to be a successful and viable firm. Customers expect to get what they would like, with a side order of customization. This approach raises several questions that have to be answered, one of which is that despite nowadays customers are knowledgeable in general, they are still far from being experts that can really...
Under the analysis of the present situation of urban roads at home and abroad, the paper reviews the development of tripper guiding information system, traffic-flow distribution model and route choice model. Then it has three multi-attribute decision-making model based on the influence factors of tripper route choice and uncertainty theories, in order to analyze the decision-making process of tripper...
The measurement accuracy of the common measurement system is very low due to the stopwatch by hand, the parallax and the ball by the falling off center. In the research, the measurement system included SCM, the corresponding circuit and interfaces of laser emission and receiving, which can overcome the parallax and reaction speed, and the measurement error of the falling ball will reduce, and the...
As the rapid development of electronic transformer in digital electrical substation, a new kind of calibration equipment for the field calibration of the electronic transformer is needed. In this paper, an equipment for the calibration of both those electronic transformers whose secondary outputs are digital signals and the ones whose secondary outputs are small analogue signals is presented. A special...
Linear analysis method is often used in engineering analysis of space-borne mirror subassemblies, thus big errors are usually existed in using linear method analyzing nonlinear systems. Obvious contact character exists in a certain type of mirror subassembly, so an analysis method based on contact theory was introduced in this paper. The comparative analysis of the mirror subassembly between the linear...
Aiming to increase the proportion of the samples that has been determinate classified in Naive Credal Classifier, this paper improves conservative inference rule and proposes an incomplete data classification model based on relaxed conservative inference rule. Simulation results of comparative experiment with Naive Bayesian Classifier and Naive Credal Classifier verify the effectiveness of this classification...
With an exponentially growing amount of information being added to the Internet, finding efficient and valuable information is becoming more difficult. Collaborative Filtering acts a very important role in web service personalization and Recommender System. In this paper, Hesitation Degree was proposed to improve the accuracy of Item based collaboration filtering, three kinds of Hesitation Degree...
Under the stress of inflation, company's capital investment budget is affected by the increase of price. On purpose of making scientific investment decisions, the company must take into account the impact of inflation. This paper attempts to show the impact of inflation on company's investment decision making. With the aim to provide direct and scientific data to illustrate the influence of inflation,...
By the test, this paper analyzed the position gain of the NC machine tool servo system controlled by the closed-loop impact on position error, steady-state errors. It provides an important basis for improving the impact on Servo system's follow performance, inertia, dead zone and other factors in the machining process of high-speed and high-precision.
In multi-attribute group decision making, The weights of experts directly affect group decision making. In this paper, from an objective point of view, An adjustment method of experts' weights is proposed on the basis of concrete judgement abilities of experts. Furthermore, a new uncertain multi-attribute group decision method is put forward, Finally, an example verifies its validity.
Collision detection algorithm based on bounding box is an important algorithm of collision detection.The principle and effectiveness of axis-aligned bounding boxes(AABB)method, oriented bounding box method(OBB), discrete orientation polytopes (k-DOP)method were discussed in detail. The results of analysis prove that the simpleness of bounding box is in contradiction with the compactness of wrapped...
Due to the high accuracy, Daubechies wavelet-based elements have been widely used in many engineering problems. However, comparing with traditional elements, wavelet-based elements always bring in more calculation works, especially as a higher element order is selected. It should be discussed in detail that on the promise of ensuring accuracy, how to select a proper order of Daubechies wavelet-based...
Against the low efficiency of training on large-scale SVM, a reduction approach is proposed. This paper presents a new samples reduction method, called bistratal reduction method (BRM). BRM has two levels. The first level is coarse-grained reduction. It deletes the redundant clusters with KDC reduction. The second level is fine-grained reduction. It picks out the support vectors from the clusters...
The traditional DEA model didn't consider the importance of input and output indicators when it analyzed the relative effectiveness of each DMU. In fact, the importance of the various indicators is greatly different for the demand side in terms of logistics services. This paper chooses the various input and output indicators by AHP, Especially considers the difference of indicators for demand-side...
In safety engineering, lower and upper explosion limits are the important indices to evaluate the safety of multi-component explosive gas mixture such as hydrogen and methane. There is a nonlinear dependence of explosion limits on the composition (components and theirs concentration) of multi-component explosive gas mixture. Therefore, a least square support vector regression (LS-SVR) model was proposed...
The text posed a brand new counting method of using infrared which was distinct to the normal usage in the product line. By adopting the infrared lattice and the appropriate recognition algrithom, the MCU is able to detect the status of traffic flow in complicated circumstance, easily and economically. All this enables to improve the real time information of traffic condition, furthter to instruct...
Electronic Commerce has offered a convenient way for people to go shopping on the Internet. However, it is difficult for Internet customers to select a valuable item from the great number of various products available on line. When we use a keyword and search in a EC website, the ranking algorithm of products is usually based on statistics or simply the shop manager's preference, which does not fully...
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