High-speed implementation of Hamming neural network

Vladimir B. Kovacevic, A. Gavrovska, M. Paskas
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引用次数: 2

Abstract

Advancements in digital electronics and signal processing algorithms for various purposes generated the possibility and need for designing artificial neural networks in hardware. The selected platform, FPGA, enables fulfillment of their demands and provides comfortable work and test environment. This paper presents development cycle and specifics for implementation of high speed Hamming artificial neural network.
汉明神经网络的高速实现
数字电子学和各种目的的信号处理算法的进步产生了在硬件上设计人工神经网络的可能性和需求。所选择的平台FPGA能够满足他们的需求,并提供舒适的工作和测试环境。本文介绍了高速汉明人工神经网络的开发周期和实现细节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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