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Prediction of regional logistics requirement provides a basis for the plan of regional logistics. In the study, support vector regression is presented to predict regional logistics requirement. The regional logistics data from 1996 to 2006 in Shanghai municipality are used as the application data of support vector regression. The comparison of prediction error between BP neural network and support...
In Service Oriented Architecture, Quality of Service (Qos) represents an important issue which is often considered when selecting and composing services. For receiving up-to-date information, non-functional properties can be continuously monitored using current methods. Because of the occurrence of monitoring at every time of service calling, the current methods imposes some overhead on the SOA. The...
Baltic Capesize Index is very important for market operators to grip the change of Dry Bulk Shipping Market. This paper is trying to build a forecasting model for BCI (Baltic Capesize Index) based on ANN (Artificial Neural Network) optimized by GA (Genetic Algorithm). The result shows that the model can excellently extract the trend of BCI, and reflect changes in actual value with less error.
The artificial neural networks (ANNs) have been applied to various hydrologic problems recently. This research demonstrates a temporal approach by applying Jordan and Elman network for rainfall-runoff modeling for the upper area of Wardha River in India. The model is developed by processing online data over time using recurrent connections. Methodologies and techniques of the two models are presented...
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