Pubblicazione scientifica

Estimation of dissolved oxygen via PLS and neural networks

FILONE TECNOLOGICO	TEMA
economia circolare e sostenibilità
produzione e raccolta

RIASSUNTO

Dissolved oxygen is one of the most important dependent factors in the process of aquaculture. In this article, a new on-line soft sensing method is proposed for estimation of dissolved oxygen in aquaculture. Based on the characters of process data, two advance techniques are used which is PLS (Partial Least Squares) and neural networks. With this method, real-time control and optimization can be realized in aquaculture. An industrial experimental study is described, and the results show that the proposed soft sensing algorithm is effective.

DATA

Data di pubblicazione: 01/06/2016

AUTORI

WEI WANG
CHANGHUI DENG
JINYAN SONG

ENTE DI AFFERENZA

KEY LAB OF MARINE INFO TECH OF LIAONING PROVINCE 116023 DALIAN CHINA

RIVISTA

2016 12th World Congress on Intelligent Control and Automation (WCICA) (Page(s): 621-624)

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