Publication detail

Neural Network System for Waste-Water Recognition

Radek Kuchta, Radimír Vrba

Original Title

Neural Network System for Waste-Water Recognition

English Title

Neural Network System for Waste-Water Recognition

Type

conference paper

Language

en

Original Abstract

This paper presents modern method of using neural network for waste-water recognition by using sensor array. Each sensor in sensor array detects chemicals in waste-water with different sensitivity. Set of measured data is digitized and recognized by a neural network. Measuring process doesn’t need any human operator. The result gives the only information: contaminated or not contaminated.

English abstract

This paper presents modern method of using neural network for waste-water recognition by using sensor array. Each sensor in sensor array detects chemicals in waste-water with different sensitivity. Set of measured data is digitized and recognized by a neural network. Measuring process doesn’t need any human operator. The result gives the only information: contaminated or not contaminated.

Keywords

Neural network, waste-water, DSP, PCA.

RIV year

2006

Released

01.08.2006

Publisher

INSTICC - Institute for Systems and Technologies of Information, Control and Communication

ISBN

978-972-8865-59-7

Book

Inteligent Control Systems and Optimization

Pages from

199

Pages to

202

Pages count

4

BibTex


@inproceedings{BUT24192,
  author="Radek {Kuchta} and Radimír {Vrba}",
  title="Neural Network System for Waste-Water Recognition",
  annote="This paper presents modern method of using neural network for waste-water recognition by using sensor array. Each sensor in sensor array detects chemicals in waste-water with different sensitivity. Set of measured data is digitized and recognized by a neural network. Measuring process doesn’t need any human operator. The result gives the only information: contaminated or not contaminated.",
  address="INSTICC - Institute for Systems and Technologies of Information, Control and Communication",
  booktitle="Inteligent Control Systems and Optimization",
  chapter="24192",
  institution="INSTICC - Institute for Systems and Technologies of Information, Control and Communication",
  year="2006",
  month="august",
  pages="199",
  publisher="INSTICC - Institute for Systems and Technologies of Information, Control and Communication",
  type="conference paper"
}