Pubblicazione scientifica

Alternative approaches for growth models: Artificial neural networks

FILONE TECNOLOGICO	TEMA
produzione e raccolta

RIASSUNTO

In this study; it was examined the growth properties (length and weight) of fish by modern (artificial neural networks) and traditional approaches (Length Weight Relationship). ANNs were considered to be an option in the evaluation of growth properties. The potential use of accurate forecasts in decision making and fisheries management are supported directly by the findings of the present study.

DATA

Data di pubblicazione: 01/05/2018

AUTORI

RECEP BENZER
SEMRA BENZER

ENTE DI AFFERENZA

BILGISAYAR MUHENDISLIGI BOLUMU MILLI SAVUNMA UNIVERSITESI ANKARA TURKIYE
FEN BILGISI EGITIMI GAZI UNIVERSITESI ANKARA TURKIYE

RIVISTA

2018 26th Signal Processing and Communications Applications Conference (SIU) (Page(s): 1-4)

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