INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
ARTIFICIAL NEURAL NETWORK - A Review and its Application in Managing Water Quality Control
Authors Name:
Shweta Goyal
, Tripti Jain , Nidhi Tyagi
Unique Id:
IJSDR1806058
Published In:
Volume 3 Issue 6, June-2018
Abstract:
Artificial Neural Networks (ANN) are the computational models that are inspired by the human brain. Major advancements have been made in recent years using ANN, that include voice and image recognition, robotics, etc. Computations through these biological methods are considered to contribute to next level advancements in the computing industry. To make the term 'neural network' clear, it is useful to analyze and explore its general structure and architectures along with the advantages and applications. The paper also aims to present a review on a new approach for solving the water quality control problem in rivers. A distributed measuring system is supposed to work with a intelligent analytical central control system. The terms used to assess the state of water quality control are Biochemical Oxygen Demand (BOD) and Dissolved Oxygen (DO). ANN was proposed for immediate estimation of BOD. This could ultimately be used to overcome the problem of controlling river water quality in real time. Learned with supervised strategy, two-layered feed-forward ANN has been tasked.
Keywords:
ANN (or neural network), BOD, DO, ACSE.
Cite Article:
"ARTIFICIAL NEURAL NETWORK - A Review and its Application in Managing Water Quality Control", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 6, page no.358 - 362, June-2018, Available :http://www.ijsdr.org/papers/IJSDR1806058.pdf
Downloads:
000336257
Publication Details:
Published Paper ID: IJSDR1806058
Registration ID:180425
Published In: Volume 3 Issue 6, June-2018
DOI (Digital Object Identifier):
Page No: 358 - 362
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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