Application of Big Data Analysis in Cost Control of Marine Fishery Breeding

In order to improve the stability of the cost control of marine fishery culture, a method of controlling the cost of marine fishery culture based on big data analysis algorithm was proposed. We establish the cost analysis model of marine fishery, use the big data correlation analysis method to condu...

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Main Author: Yunsong Gu
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2022/6827469
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author Yunsong Gu
author_facet Yunsong Gu
author_sort Yunsong Gu
collection DOAJ
description In order to improve the stability of the cost control of marine fishery culture, a method of controlling the cost of marine fishery culture based on big data analysis algorithm was proposed. We establish the cost analysis model of marine fishery, use the big data correlation analysis method to conduct distributed mining on the cost characteristics of marine fishery, deeply grasp the relevance of data characteristics, use the information fusion method to build the constraint parameter analysis model of aquaculture cost operation, limit the amount of calculation, and use the adaptive neural network weighted training method to adaptively optimize the cost control to avoid falling into local optimization. The objective model of aquaculture cost control is established, and the cost constraint is carried out by the parameter optimization method. The statistical feature quantity of marine fishery cost control is obtained, and the cost control of marine fishery is realized by the feature recombination method. The simulation results show that this method is more stable in the cost control of marine fishery culture and improves the adaptability of the cost control of marine fishery culture.
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institution Kabale University
issn 1607-887X
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publishDate 2022-01-01
publisher Wiley
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series Discrete Dynamics in Nature and Society
spelling doaj-art-55271a120b4543f29abd3288090bed242025-02-03T06:12:59ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/6827469Application of Big Data Analysis in Cost Control of Marine Fishery BreedingYunsong Gu0College of Economics and ManagementIn order to improve the stability of the cost control of marine fishery culture, a method of controlling the cost of marine fishery culture based on big data analysis algorithm was proposed. We establish the cost analysis model of marine fishery, use the big data correlation analysis method to conduct distributed mining on the cost characteristics of marine fishery, deeply grasp the relevance of data characteristics, use the information fusion method to build the constraint parameter analysis model of aquaculture cost operation, limit the amount of calculation, and use the adaptive neural network weighted training method to adaptively optimize the cost control to avoid falling into local optimization. The objective model of aquaculture cost control is established, and the cost constraint is carried out by the parameter optimization method. The statistical feature quantity of marine fishery cost control is obtained, and the cost control of marine fishery is realized by the feature recombination method. The simulation results show that this method is more stable in the cost control of marine fishery culture and improves the adaptability of the cost control of marine fishery culture.http://dx.doi.org/10.1155/2022/6827469
spellingShingle Yunsong Gu
Application of Big Data Analysis in Cost Control of Marine Fishery Breeding
Discrete Dynamics in Nature and Society
title Application of Big Data Analysis in Cost Control of Marine Fishery Breeding
title_full Application of Big Data Analysis in Cost Control of Marine Fishery Breeding
title_fullStr Application of Big Data Analysis in Cost Control of Marine Fishery Breeding
title_full_unstemmed Application of Big Data Analysis in Cost Control of Marine Fishery Breeding
title_short Application of Big Data Analysis in Cost Control of Marine Fishery Breeding
title_sort application of big data analysis in cost control of marine fishery breeding
url http://dx.doi.org/10.1155/2022/6827469
work_keys_str_mv AT yunsonggu applicationofbigdataanalysisincostcontrolofmarinefisherybreeding