Indian Journal of Public Health Research & Development
Year : 2017, Volume : 8, Issue : 3
First page : ( 401) Last page : ( 404)
Print ISSN : 0976-0245. Online ISSN : 0976-5506.
Article DOI : 10.5958/0976-5506.2017.00229.7

Chlorophyll-A Predicting Based on Artificial Neural Network for Marine Cage Fish Farming

Sivakumar M N

Assistant Professor, Department of Chemistry, AMET University, Chennai

Online published on 24 October, 2017.

Abstract

Base on the 201 gatherings of information that acknowledged over the most recent ten years, a 3 layer (3, 8, 1) BP simulated neural system show on rapidly foreseeing chlorophyll-a focus in marine enclosure angle cultivating range was set up. Three field exact estimation parameters (water temperature, pH, broke up oxygen) was as the information variable and chlorophyll-a was the yield in our model. In most condition the estimate results was nearly to the real information when utilizing this model. Its forecast exactness was fundamentally higher than the direct relapse condition. For the reason that the information utilized as a part of building model which has some question and the multifaceted nature of foreseeing chlorophyll-a substance, there existed some mistake between estimate esteem and real esteem when utilizing this model in a few arrangements of information. This article advanced the strategies to perfect the model in the following stage.

Top

Keywords

BP Artificial Neural Networkmarine Cage Fish Cultivation Area.

Top