Smart Sensor Using Function Approximation

被引：0
|
作者：
Shaikh, Kader B. T. [1 ]
机构：
[1] VESIT, Bombay, Maharashtra, India
来源：
2017 2ND IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT) | 2017年
关键词：
Function approximation; Smart sensor; ANN; Arduino Uno; FEEDFORWARD NETWORKS;
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 reports a neural network (NN) implementation of function approximation. Function approximation (aka, nonlinear regression) identifies input-output relationship from given input-output data set. Concept of function approximation is applied to develop a smart position sensor. Smart position sensor consists of three standard sensors that are coupled with a neural network to produce an estimate of the location of an object in one dimension. MATLAB is used to construct and train the multi layer feed forward neural network. Hardware implementation of trained neural network is done on Arduino Uno microcontroller board.
引用
收藏
页码：1223 / 1226
页数：4
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