Title: Improving Interactivity of a Parallel and Distributed Immersive Walkthrough Application for Very Large Datasets with Artificial Neural Network-based Machine Learning Names:
نویسندگان
چکیده
An instantaneously trained artificial neural network schema is used to improve the interactive speed in very large scale scientific visualization. An instant learning algorithm is adopted to reduce the training time for user behavior analysis in billion-particle walkthrough on an SGI Onyx2 graphics server connected to a PC cluster.
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