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Call center has been paid more and more attention, a method for predicting call center service grade with improved neural network algorithm was put forward according to the call center service quality management requirements in the enterprise. The optimization algorithm Levenberg-Marquardt was utilized to increase the convergence speed of BP neural network. And overcome the shortcomings of falling...
In this paper, an intelligent model constructed with fuzzy TS dynamic nonlinear autoregressive with exogenous input (NARX) is introduced for process state identification and behavior prediction for complex processes. In the model, fuzzy neural networks (FNNs) are applied as process state classifiers for process state (fault) detection. An optimization schemes are also investigated for model adaptability...
With the advent of various QoS technologies, various traffic classes with different QoS requirements are supported on an integrated IP network. As for the multiservice IP networks, the dominant factor in the cost of provisioning a particular service is dependent on the minimum network bandwidth allocated in the network with QoS requirements satisfied. Therefore, to optimally partition bandwidth resource,...
It is very important to optimize pattern design of ETL scenario's to data warehouse's integration in the ETL (extract-transformation-load) tools development, a good modeling process is helpful to the accuracy of description in data source, and makes the ETL workflow's design more reasonable. To find out a methodology for facilitating the modeling and management of ETL processes, aimed at Alkis Simitsis...
Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new knowledge from this information. However, when these databases becomes too large, it is not efficient to process all the available data with practical data mining applications. As a solution, different approaches for intelligent...
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