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Time Series Prediction is widely used in our daily life. We propose a forecasting method based on RBF neural network for time series prediction in this paper. This approach consists of two phases, training phase and working phase. During training phase, we integrate subtractive clustering method and k-means method to generate the centers of RBF neural network, which can cover the shortage of only...
In this paper, the cloud model theory and ant colony algorithm are combined to explore and build cloud model adaptive mechanism in multi-target environment, and an adaptive multi-objective ant colony algorithm based on cloud model is proposed. Through the evaluation of pheromone distribution, the parameters of the cloud model are adjusted adaptively, and then the range of optimum dominated solutions...
Distributed geospatial web services have been widely utilized in scientific researches, public web applications and emergency responses. However, due to the high cost and limitation of reality for these potential applications, it is necessary to diagnose the execution of the distributed geospatial web services before applying them in real-world. In this article, we introduce an extensible framework...
This thesis studies a user interest model which can correspond with every user by collecting some personal information of users and optimize the retrieval results by search the original query expansion automatically. After putting the inquiry keyword into the search engine, the system will filter and sort the retrieval results according with the relevant of the user's interest model and finally present...
In this paper, we propose a novel trust management scheme for improving routing reliability in wireless ad hoc networks. It is grounded on two classic autoregression models, namely Autoregressive (AR) model and Autoregressive with exogenous inputs (ARX) model. According to this scheme, a node periodically measures the packet forwarding ratio of its every neighbor as the trust observation about that...
Dredging simulation is of great significance to the development of dredging engineering technology of harbor, waterway, rivers, lakes, etc. The design and implement of the dredging simulation system are introduced. The modeling and key techniques for the virtual reality of construction site, the movement of dredge vessel, the soil cutting of cutter, and the hydraulic transport of sand in a pipeline,...
In this paper, the author make the grey forecast united with the fuzzy synthetic assessment to determine the regional classification problems for regulating and planning groundwater. In this case, the following models are adopted to forecast the water quality system: GM(1, 1) model groups, GM(1, 1) residual difference model, GM(1, N), GM(1, 1) Weighted model.
Distributed GIS system's data security, especially access control, has become an indispensable function component in the practical application of distributed system. However, current approaches to access control are mostly based on individual user identity; hence they do not scale to distributed systems. In this paper, a new access control mechanism which is the combination of trust and role-based...
Prediction of electronic equipments and systemspsila Electromagnetic Compatibility (EMC) issues at early develop stages is inevitable for achieving their EMC discipline. This paper proposes a method to fast predict EMC problems based on Artificial Neural Networks (ANN). By means of choosing relevant Electromagnetic Interference parameters to compose of input prediction features, using the back propagation...
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