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ESN load forecasting model has high stability, and is able to learn fast and not easy to fall into local optimum, compared with standard recurrent neural network. In the process of constructing the typical ESN model, the choice of parameters is always empirical or random. The forecasting performance of ESN was analyzed on the basis of its key parameters. While the dynamic reserve pool has black box...
Modern intensive care units (ICUs) collect large volumes of data in monitoring critically ill patients. Clinicians in the ICUs face the challenge of interpreting large volumes of high-dimensional data to diagnose and treat patients. In this work, we explore the use of Hierarchical Dirichlet Processes (HDP) as a Bayesian nonparametric framework to infer patients' states of health by combining multiple...
With network coding, data flows from the source to the destinations may be jointly coded in some intermediate nodes to achieve the maximum network capacity. There is scarcely any theory to systematically model and evaluate the loss of network coding. Without such a theory, the analysis of network coding under various settings is far from practical. To fill the vacancy, we introduce a loss model into...
Cloud computing is an emerging commercial calculation mode. The flexibility, reliability and low cost make cloud computing gradually be widely used. The government cloud is a kind of private cloud based on cloud computing which can optimize the government's systems, improve government's work efficiency and also service quality. The index management system's function includes assessment, analysis and...
Recent studies have shown that the various brain networks over different cognitive states. In contrast to measure a physiological change over a single region, the information flows between brain regions described by effective connectivity provides an informative dynamic over the whole brain. In this study, we proposed a source information flow network based on the combination of Granger causality...
The ultimate goal for a Trailing Suction Hopper Dredger (TSHD) is maximizing the profit. The performance of the dredger is strongly influenced by the operator's strategy and the soil properties. A decision support system can help the operator maximizing the performance by using models. In this paper, the optimization method which combined the Neural Network (NN) model with the genetic algorithm (GA)...
Teaching material sharing networks (TMSN) may enrich teachers teaching capacity and quality through sharing. To effectively manage a network and its evolution, managers have to characterize members' behaviors such as joining/leaving the network (membership) and uploading/downloading teaching materials (sharing) and network state dynamics of membership, teaching material (TM) quantity and quality....
Forecasting of GDP is considered using a novel combination forecasting model. Firstly, we establish a combination forecasting model based on three individual forecasts, in this model the individual forecasting errors can be updated over time. Secondly Ningxia per GDP from 1985 to 2010 is analyzed employing this novel combination forecasting, the empirical results show that combination forecast can...
Based on the first-price sealed-bid auction model of limited corruption including risk aversion and risk neutral, parallel experiments have been conducted through LAN, with the purpose of testing the predictive ability of the model, as well as observing the efficiency of the first-price sealed-bid auction and the way that bidders behave in the presence of limited corruption. The study finds that mechanism...
Although the value of using static code attributes to learn defect predictor has been widely debated, there is no doubt that software defect predictions can effectively improve software quality and testing efficiency. Many data mining methods have already been introduced into defect predictions. We noted there have several versions of defect predictor based on Naive Bayes theory, and analyzed their...
The development of virtual roaming system is an important application of virtual reality technology. The purpose of this paper is to implement a three-dimensional virtual environment to display the campus of the College as a reference. During the process we made various models of the campus by using 3ds Max and set up the virtual roaming system by using Cortona VRML. We also discussed a general design...
In order to realize the modernization of mine enterprises, enforcing “Digital Mine” construction is necessary. And the key of enforcing “Digital Mine” construction is to solve the effective storage and management of mine spatial data. The paper firstly shows the characteristic features of mine spatial data. Then it discusses the method of the storage and management of mine spatial data on the basis...
With the development of 3D scanning and imaging technologies, large amount of 3D surface and volumetric geometric data have been routinely collected these days. Compared with surface data, volumetric data are usually equipped with rich material, texture, intensity, and other heterogeneous structural information in their interior regions. Effectively visualizing such information can be very important...
PDNS can provide a more accurate and effective simulation of large-scale network topology. How to predict and improve its simulation performance has become a hot topic. This paper analyzes the main impacting factors in the distributed network simulation and on this basis, builds the performance estimation model of distributed network simulation based on PDNS conservative synchronization mechanism...
The feasibility of mapping in-core power distribution by response matrix from ex-core detectors readings is discussed. Least square method is used to fitting response matrix. The response matrix is validated by comparing reconstructed power distribution with real power distribution. The result shows that reconstructed power distribution of most cells accord with real power distribution. But relative...
The optimization of parameters injecting into orbits based on the pattern search method is studied aiming at the condition that the calculation deviation of on-board ephemeris is gradually increased with the expansion of reckoning time. The causes of influencing on the calculation results of satellite ephemeris and generating the deviation of ground orbit injection parameters are determined through...
Short-term electricity load is effected by various factors, It has the certain difficulty to make prediction accurate, but we can improve prediction precise by continuously optimizing forecasting methods. This paper carried out the combination of ARIMA several methods based on the idea of time sequence, to avoid deficiencies in various aspects, perfect forecasting methods, make ARIMA model can conduct...
Enterprise network information system is not only the platform for information sharing and information exchanging, but also the platform for enterprise production automation system and enterprise management system working together. As a result, the security defense of enterprise network information system does not only include information system network security and data security, but also include...
Regression-class is defined as a subset of the data set that is subject to a regression mode. Mining regression-class in heterogeneous data sets is attracting much attention in a variety of disciplines. Traditional data sets can't reflect prior information of data. In this paper, we consider ??fuzzy point data sets??, which is defined by giving a fuzzy membership to the data in exact data sets, for...
With the quick development in the application design of sensor networks, appropriate middleware, which provides efficient service for concurrent applications taking account into the scarce resources and sensor energy, is needediquestwhich provides efficient service for concurrent applications taking account into the scarce resources and sensor energy. In this paper, we propose a novel message oriented...
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