FPGA Implementation of Feed-Forward Neural Networks for Smart Devices Development

被引：0

作者：

Oniga, Stefan ^{[1
]}

Tisan, Alin ^{[1
]}

Mic, Daniel ^{[1
]}

Lung, Claudiu ^{[1
]}

Orha, Ioan ^{[1
]}

Buchman, Attila ^{[1
]}

Vida-Ratiu, Andrei ^{[1
]}

机构：

[1] N Univ Baia Mare, Dept Elect & Comp Engn, Baia Mare, Romania

来源：

ISSCS 2009: INTERNATIONAL SYMPOSIUM ON SIGNALS, CIRCUITS AND SYSTEMS, VOLS 1 AND 2, PROCEEDINGS, | 2009年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents the results obtained in the implementation of Feed-Forward Artificial Neural Networks (FF-ANN) with one or several layers, used in the development of smart devices that needs learning capability and adaptive behavior. The networks were implemented using ANN specific blocks created by the authors using the System Generator software. The training and the testing of the networks was conducted using sets of 150 training and test vectors with 7 elements.

引用

页码：401 / 404

页数：4

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