Abstract:
:The current economics of the fish protein industry demand rapid, accurate and expressive prediction algorithms at every step of protein production especially with the challenge of global climate change. This help to predict and analyze functional and nutritional quality then consequently control food allergies in hyper allergic patients. As, it is quite expensive and time-consuming to know these concentrations by the lab experimental tests, especially to conduct large-scale projects. Therefore, this paper introduced a new intelligent algorithm using adaptive neuro-fuzzy inference system based on whale optimization algorithm. This algorithm is used to predict the concentration levels of bioactive amino acids in fish protein hydrolysates at different times during the year. The whale optimization algorithm is used to determine the optimal parameters in adaptive neuro-fuzzy inference system. The results of proposed algorithm are compared with others and it is indicated the higher performance of the proposed algorithm.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Elaziz MA,Hemdan AM,Hassanien A,Oliva D,Xiong Sdoi
10.1038/s41598-017-10890-1subject
Has Abstractpub_date
2017-09-07 00:00:00pages
10860issue
1issn
2045-2322pii
10.1038/s41598-017-10890-1journal_volume
7pub_type
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