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In this paper, because the induction machines (IM) are described as the plants of highly nonlinear and parameters time-varying, to obtain excellent control performances of IM and overcome the shortcomings of the fast modified variable metric optimal learning algorithm (MDFP) and back propagation (BP) learning algorithm of neural network, such as requiring derivation in the process of learning and...
On a definition of Consensus and Consensus Formation, this paper reviews the consensus degree algorithm, and indicates the shortcomings of existing researches. Model proposed by Patrik Eklund et.al. is then improved to calculate Consensus Degree in the context of common goals & similar fundamental interests among subjects through aggregating all participators' appraisal of alternatives using arithmetic...
With the development of information technology, the internet rapidly steals into our daily life, which brings profound changes to each industry. Even the insurance sector, regarded as “the last sleeping giant” in financial industry, is getting rid of the bondage of its complicated rules and regulations, and increasingly involved in a new revolution. Websites providing insurance consulting and doing...
Experiment teaching project with scientific design is very important to train the practical ability, application ability and innovation ability of technology and application talents. This paper introduced the industry control network laboratory and its experiment teaching project building goal. At the same time, this paper gives an overall teaching project solution by actual design and construction...
Realizing integrated financial management in supply chain is an inevitable trend. The features which integrated financial system in supply chain should have are expounded. Conception reengineering, process reengineering and organizational reengineering is premise to realize integrated financial management in supply chain. A framework of integrated financial system in supply chain is presented, which...
In order to more accurately predict industrial emissions, the paper selected BP and GA-BP neural network to establish the prediction model between the foreign trade and industrial waste discharge. Compared of different forecasting methods and examples of analysis of results, it shows that GA-BP neural network had higher accuracy, tolerant and excellent generalization ability than other model on ecology...
With the increasing of vehicle quantity, traffic violations occur frequently. It is an efficient means to avoid traffic accident through controlling traffic violation. Based on the study of traffic accidents, black spot of traffic violation can be determined. But little research work has been done on this subject at present. This paper proposed a traffic violation black spot analysis method. In the...
Knapsack problem is a typical computer algorithm of NP complete (Nondeterministic Polynomial Completeness) problem. The research of solving this problem has great significance not only in theory, but also in application, for example, resource management, investment decisions and so on. For solving this problem, scholars have developed a number of algorithms, however, they are all have some drawbacks...
A well constructed ontology plays a crucial role in knowledge description, knowledge query and knowledge reasoning. However the inevitable issue in ontology construction is that ontologies which are developed by different creators are inconsistent. This paper firstly analyzes four reasons why the inconsistencies occur. Then based on the reasons we propose a methodology for ontology construction to...
Focusing on the problem in production practice of sintering process, a novel classifier based on BP learning algorithm is proposed for on-line quality inference of sintered ore. In order to speed up the convergence rate of BP learning algorithm, the learning algorithm with adaptive variable step-size is adopted. On the basis of the above work a quality prediction model is proposed in this paper. Experimental...
This paper presents a wavelet-based image fusion method, in which the self-organizing particle swarm optimization algorithm is applied to image fusion based on region energy. In order to find image fusion by the optimal threshold particles are firsthand formed by thresholds. With comprehensive consideration of the parameters that affect the performance the algorithm, acceleration factors and inertia...
Triangular patches interpolation has a number of applications in science and industry, and first-order partial derivatives play an important role in this surface interpolation technology. In this paper a new method for estimating partial derivatives is proposed. The given points are separated into interior points and boundary points, area and shape of base triangles are taken into account for the...
In this paper, an index system was established, and a closedloop weighting determination method based on DS evidences fusion and Spearman method was proposed. First, the subjective evidence was calculated considering the expert group's advice. And the conflict experts were excluded before integration. Through defining the evidences' sufficiency, we could determine the algorithm whether to close or...
This paper describes a kind of temperature control system which is composed of PLC. Fuzzy control algorithm was used for the system. The basic structure of fuzzy control, parameter design, and system software and hardware design was expounded. In this system, fuzzy control achieved reasonable optimization of heating time and saving electric energy of the heating element. In practical applications,...
As a result of an overt advantage on more high efficient energy saving, simple structure and little technical difficulty, the chopped wave cascade speed control drive system is used widely in many industrial sites in China. Compared with the traditional cascade speed drive in phase-shift bursting mode, many changes take place in the main circuit structure of the chopped wave cascade speed control...
The chopped wave cascade speed control system is a promising lower energy consumption and reduce pollutants discharging technology. Because the electronics and electric devices are adopted to be its kernel component, it is one of the main harmonic sources for the power grid, and consuming lots of reactive power. The analysis and calculation about its harmonics could be used to be evidence of the hazards...
We present an enriched multiscale finite element method (MFEM) for solving the singularly perturbed reaction-diffusion problem, and our multiscale space is constructed by two parts, which are the multiscale basis in the optimal-width boundary layers domain, plus the standard linear basis in the smooth domain. Since the multiscale basis can express the local perturbed information automatically, our...
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