A Novel Artificial Neural Network Based Approach for Validating Length–Weight Relationships and Assessing Condition Factor in Whiting (Merlangius merlangus euxinus L., 1758)

Buse Eraslan Akkan

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A Novel Artificial Neural Network Based Approach for Validating Length–Weight Relationships and Assessing Condition Factor in Whiting (Merlangius merlangus euxinus L., 1758)

Buse Eraslan Akkan ¹

¹ Mehmet Akif Ersoy Middle School, Natural Sciences Division, Giresun, Türkiye DOI : 10.4194/TRJFAS28247 Viewed : 17 - Downloaded : 19 The popularity of artificial neural networks (ANNs) in the field of fish population management studies is increasing daily, with the potential to provide more rapid and efficient results. Length-weight relationship (LWR) and condition factor ( Keywords : Single multiplicative neuron Condition factor Artificial neural networks Machine learning Merlangius merlangus euxinus

A Novel Artificial Neural Network Based Approach for Validating Length–Weight Relationships and Assessing Condition Factor in Whiting (Merlangius merlangus euxinus L., 1758)

Buse Eraslan Akkan 1

Buse Eraslan Akkan ¹