کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
410807 | 679166 | 2007 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A high bit resolution FPGA implementation of a FNN with a new algorithm for the activation function
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A high bit resolution FPGA implementation of a FNN with a new algorithm for the activation function A high bit resolution FPGA implementation of a FNN with a new algorithm for the activation function](/preview/png/410807.png)
چکیده انگلیسی
Several implementations of Feedforward Neural Networks have been reported in scientific papers. These implementations do not allow the direct use of off-line trained networks. Usually, the problem is the lower precision (compared to the software used for training) or modifications in the activation function. In the present work, a hardware solution called Artificial Neural Network Processor, using a FPGA, fits the requirements for a direct implementation of Feedforward Neural Networks, because of the high precision and accurate activation function that were obtained. The resulting hardware solution is tested with data from a real system to confirm that it can correctly implement the models prepared off-line with MATLAB.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 71, Issues 1–3, December 2007, Pages 71–77
Journal: Neurocomputing - Volume 71, Issues 1–3, December 2007, Pages 71–77
نویسندگان
Pedro Ferreira, Pedro Ribeiro, Ana Antunes, Fernando Morgado Dias,