دانلود مقاله ISI انگلیسی شماره 152690
کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
152690 2018 10 صفحه PDF سفارش دهید 6595 کلمه
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عنوان انگلیسی
Accelerating nearest neighbor partitioning neural network classifier based on CUDA
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Engineering Applications of Artificial Intelligence, Volume 68, February 2018, Pages 53-62

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چکیده انگلیسی

The nearest neighbor partitioning (NNP) method is a high performance approach which is used for improving traditional neural network classifiers. However, the construction process of NNP model is very time-consuming, particularly for large data sets, thus limiting its range of application. In this study, a parallel NNP method is proposed to accelerate NNP based on Compute Unified Device Architecture(CUDA). In this method, blocks and threads are used to evaluate potential neural networks and to perform parallel subtasks, respectively. Experimental results manifest that the proposed parallel method improves performance of NNP neural network classifier. Furthermore, the application of parallel NNP in performance evaluation of cement microstructure indicates that the proposed approach has favorable performance.

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