Raman spectroscopy-based prediction of ofloxacin concentration in solution using a novel loss function and an improved GA-CNN model.

Ma, Chenyu; Shi, Yuanbo; Huang, Yueyang; Dai, Gongwei

Ma, Chenyu; Shi, Yuanbo; Huang, Yueyang; Dai, Gongwei.

Affiliation

Ma C; School of Information and Control Engineering, Liaoning Petrochemical University, Fushun, 113001, China.
Shi Y; School of Artificial Intelligence and Software, Liaoning Petrochemical University, Fushun, 113001, China. syb2011@yeah.net.
Huang Y; School of Information and Control Engineering, Liaoning Petrochemical University, Fushun, 113001, China.
Dai G; School of Artificial Intelligence and Software, Liaoning Petrochemical University, Fushun, 113001, China.

BMC Bioinformatics ; 24(1): 409, 2023 Oct 30.

Article in En | MEDLINE | ID: mdl-37904084

Subject(s)

Neural Networks, Computer; Spectrum Analysis, Raman; Algorithms; Benchmarking; Ofloxacin

Key words

Concentration prediction; Genetic algorithm-convolutional neural network; Kernel-Huber loss function; Ofloxacin; Raman spectroscopy

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spectrum Analysis, Raman / Neural Networks, Computer Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2023 Type: Article Affiliation country: China

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