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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...
It has been 50 years since the idea popped up that calculating systems can be made on the replica of the biological neural networks. Still, the development of this science branch made the improvement of these systems possible only in the last 25-30 years. Nowadays, neural computing is a very extensive, separate science. Its solid theory basis made it possible to use them to solve many kind of problems...
Data mining is a technology in data analysis with rising application in sports. Basketball is one of most popular sports. Due to its dynamics, a large number of events happen during a game. Basketball statisticians have task to note as many of these events as possible, in order to provide their analysis. In this paper, we used data from the First B basketball league for men in Serbia, for seasons...
Evaluating road safety is essential in identifying the potential road safety hazard which could result in casualties and property losses. in this paper, a BP neural network was built by using neural network toolkit in "Matlab", Two similar roadways are used in calibrating and validating the network. The high level of predictability provided that the application of BP neural network model...
Based on 130t/h circulating fluidized bed boiler (CFBB)unit simulation, in virtue of computer simulation technology, using configuration method simulates the CFBB operation of personnel training, in order to avoid and reduce the operating personnel happening accident, enhance the operators in the process of accident emergency handling ability.Established the PID loop adjustment combustion system and...
A lower limbs rehabilitative training robot was designed to improve walking ability of patients who suffer from impairment in locomotion after neurology injuries or aged persons who lack walking capability. The robot was fixed with four omni-directional wheels which can move within any radius in any direction. When the robot is running, some undetected uncertainty disturbances change its running trajectory,...
Bus incident are random, while its prediction is a nonlinear time-varying system, and is difficult to use mathematical models to achieve accurate modeling .The paper presents a real-time forecasting method of bus incident based on a dynamic fuzzy-neural network .First, the paper defines what are called bus incident, and then analyzes the factors that will lead to bus incident. Introduce using cluster...
It is very important to forecast the ice thickness of Transmission Line for the safe operation of transmission network. The author had introduced artificial neural network(ANN) to the prediction of the ice thickness of transmission line, and proposed a predictive model based on GA and BP addresses on the defects of BP network includes slow convergence and easiness of running to local minimum, and...
The Chinese government has been granting favorable polices to the high-tech small and medium-sized enterprises (SMEs) since their birth in the 80s of last century. However, the current policy making and granting mechanism is not without flaws. The paper ventures to review the mechanism thoroughly and, based on which, suggest possible solutions.
This article discusses the necessity, implementation methods and effectiveness of the performance management in the private enterprises. The main propositions are: analysis of the status and disadvantage of performance management in the private enterprises, performance management's objective is to achieve a win-win with the employees, to combine the performance management with the long-term strategic...
Safety culture is the core of internal environment for safety management system, and it is significant for the enterprise's safety. Many scholars do much study on safety culture with all kinds of methods, such as Literature Review and Questionnaire Survey, and so on. Among them, the Questionnaire Survey is frequently used to research on the evaluation of safety culture. These researches promote vastly...
Influenced by the sixth worldwide wave of merge and acquisition (M&A), china's iron and steel enterprises have accelerated the pace of M&A. Whether can the enterprise succeed to acquisition and amalgamation is decided by the effective integration of the human resource (HR) to a great extent. This paper firstly pointed out that human resource capacity (HRC) for M&A integration was a special...
In this paper, through combining information diffusion principle and BP neural network theory, a new prediction model of drought disaster assessment is established. First, the original data are fuzzily processed based on information diffusion method, then a new training sample is formed; second, the new sample is used to design and train BP neural network; finally, the trained fuzzy neural network...
This paper innovatively proposes a hybrid intelligent system combining fuzzy comprehensive assessment approach and artificial neural network (ANN) that predicts the safety performance of construction site for breaking through the limitations of conventional method. And also inducts the sensibility analysis to discriminate the importance of each index in the assessment index system. The effectiveness...
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...
How individual factors influence cyberloafing in enterprises has been studied with multiple regression method. Results showed that eight factors influence cyberloafing significantly, which were ideological cognition, personal habits, psychological dependence, making personal gain, interpersonal interaction, workplace status, inspiring creativity and degree of understanding of related regulations.
As the principle of enterprises' social responsibility for promoting the protection of labor rights, SA8000 has brought a lot of adverse effects to Chinese export enterprises. In fact the labor condition of Chinese enterprises is indeed worrying. In order to regulate and restrict enterprises' labor conditions in a long-term, and to evaluate and monitor periodically, it is necessary to provide quantitative...
Human capacity as well as institutional capacity and societal capacity determines the management capacity of the nature reserves. In China, the human capacity can not meet the requirements for the nature reserve protecting and the biodiversity conservation. This paper focuses on the current human capacity building in the nature reserves in order to promote their management effectiveness. We find that...
The Establishment Framework for Theory of Socialized Service marketing mix in stadiums and gymnasiums of colleges and universities is studied by literature review, specialists visiting, and field investigation. The framework of the adopted marketing mix is established on the basis of study on socialized service marketing mix, which involves personnel, physical exhibition and process except for the...
Human-based Management is an inevitable development trend in modern enterprises management; it is the requirement of complete human-being development on enterprise management. Human-based management, i.e. the commonly called "human oriented", means regarding human being as the core of management activities, highlighting the management thought of promoting the completion of organization goals...
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