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Non-Linear 3D Rendering Workload Prediction Based On A  (Make Corrections)  
Combined Fuzzy-Neural Network Architecture For Grid Computing Applications...



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Abstract: Although, computational Grid has been initially developed to solve large-scale scientific research problems, it is extended for commercial and industrial applications. An interesting commercial application with a wide impact on a variety of fields, is 3D rendering. In order to implement, however, 3D rendering to a grid infrastructure, we should develop appropriate scheduling and resource allocation mechanisms so that the negotiated Quality of Service (QoS) requirements are met. Efficient... (Update)

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@misc{ network-nonlinear,
  author = "Combined Fuzzy-Neural Network",
  title = "Non-Linear 3d Rendering Workload Prediction Based On A",
  url = "citeseer.ist.psu.edu/745641.html" }
Citations (may not include all citations):
831   Computer Graphics: Principles and Practice (context) - Foley, van Dam et al. - 1997
704   Neural Networks: A Comprehensive Foundation (context) - Haykin - 1994
87   Neural Networks and Fuzzy Systems: A Dynamical Systems Appro.. (context) - Kosko - 1992
86   Pruning Algorithms - A Survey (context) - Reed - 1993
85   Grid Services for Distributed System Integration (context) - Foster, Kesselman et al. - 2002
18   Efficient Summarization of Stereoscopic Video Sequences - Doulamis, Doulamis et al. - 2000
13   Cost Prediction in Ray Tracing - Reinhard, Kok et al. - 1996
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