Hardware Reconfigurable Neural Networks

Hardware Reconfigurable Neural Networks
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硬件可重构神经网络

DOI:
10.1007/3-540-64359-1_679
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发表时间:
1998
期刊:
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影响因子:
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通讯作者:
E. Sanchez
E. Sanchez
中科院分区:
--
文献类型:
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作者:
Jean;J. Haenni;E. Sanchez

文献摘要

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本文以神经网络的数字硬件实现以及非常适合此类系统原型设计的平台 RENCO 为例,介绍了可重构系统的概念。 RENCO 是一台网络计算机,包含由四个 Altera Flex10K FPGA(10K130 或 1OK250)组成的可重新配置部分。
This paper presents the concept of reconfigurable systems using the example of a digital hardware implementation of neural networks, as well as RENCO, a platform very well-suited for the prototyping of such systems. RENCO is a network computer containing a reconfigurable part composed of four Flex10K FPGAs from Altera (10K130 or 1OK250).