Implementation of SoC of soft measurement algorithm based on RBF neural network

ZHU Yi-feng; SONG Zhi-huan

doi:10.13873/j.1000-97872011.10.015

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Implementation of SoC of soft measurement algorithm based on RBF neural network

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- Implementation of SoC of soft measurement algorithm based on RBF neural network
- Vol. 30, Issue 10, Pages: 133-136(2011)
- 作者机构：
  
  浙江大学工业控制研究所工业控制技术国家重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872011.10.015
  CLC： TN47;TP274
- Published：2011
- 稿件说明：
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[1]朱懿峰,宋执环.基于RBF神经网络的软测量算法的SoC实现[J].传感器与微系统,2011,30(10):133-136.

ZHU Yi-feng, SONG Zhi-huan. Implementation of SoC of soft measurement algorithm based on RBF neural network[J]. 2011, 30(10): 133-136.
[1]朱懿峰,宋执环.基于RBF神经网络的软测量算法的SoC实现[J].传感器与微系统,2011,30(10):133-136. DOI： 10.13873/j.1000-97872011.10.015.

ZHU Yi-feng, SONG Zhi-huan. Implementation of SoC of soft measurement algorithm based on RBF neural network[J]. 2011, 30(10): 133-136. DOI： 10.13873/j.1000-97872011.10.015.

摘要

提出了一种面向片上系统（SoC）的RBF神经网络的软测量算法

在OMAP—L137双核处理器SoC硬件平台上成功实现了整个训练与预测算法。针对SoC计算速度和存储空间等资源有限

对网络结构、权值更新模式和步长以及数据预处理方式等参数提出了具体的解决方案。经过相关数据集的测试结果表明:提出的算法移植方法完全满足工业应用的要求

且具有便携性、低成本、可扩展等多种优点。

Abstract

An algorithm of RBF neural network soft measurement based on SoC is proposed.The entire training and prediction algorithms are implemented successfully on the hardware platform of dual-core SoC processor.In order to apply algorithm effectively on the platform whose compute speed and memory are limited

specific solutions about the structure of the network

weight update pattern and step and data preprocessing mode is proposed.The data set test results prove that the algorithm transplantation method satisfies the requirements of industrial application

which has a variety of advantages such as portable

low-cost and extensible.

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references

软测量技术及其应用 [J]. 俞金寿. 自动化仪表 . 2008(01)

智能检测技术与系统[M]. 高等教育出版社 , 胡向东等, 2008

嵌入式系统开发与应用[M]. 北京航空航天大学出版社 , 田泽编著, 2005

神经网络控制[M]. 电子工业出版社 , 徐丽娜编著, 2003

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