典型文献
Identificationofparalyticshellfishtoxin-producingmicroalgae using machine learning and deep learning methods
文献摘要：
Paralytic shellfish poisoning(PSP)microalgae,as one of the harmful algal blooms,causes great damage to the offshore fishery,marine culture,and marine ecological environment.At present,there is no technique for real-time accurate identification of toxic microalgae,by combining three-dimensional fluorescence with machine learning(ML)and deep learning(DL),we developed methods to classify the PSP and non-PSP microalgae.The average classification accuracies of these two methods for microalgae are above 90％,and the accuracies for discriminating 12 microalgae species in PSP and non-PSP microalgae are above 94％.When the emission wavelength is 650-690 nm,the fluorescence characteristics bands(excitation wavelength)occur differently at 410-480 nm and 500-560 nm for PSP and non-PSP microalgae,respectively.The identification accuracies of ML models(support vector machine(SVM),and k-nearest neighbor rule(k-NN))),and DL model(convolutional neural network(CNN))to PSP microalgae are 96.25％,96.36％,and 95.88％respectively,indicating that ML and DL are suitable for the classification of toxic microalgae.
文献关键词：
中图分类号：
作者姓名：
Wei XU;Jie NIU;Wenyu GAN;Siyu GOU;Shuai ZHANG;Han QIU;Tianjiu JIANG
作者机构：
Research Center of Red Tides and Marine Biology,Jinan University,Guangzhou 510632,China;Atmospheric Sciences and Global Change Division,Pacific Northwest National Laboratory,Richland 99354,WA,USA;Key Laboratory of Eutrophication and Red Tide Prevention of Harmful Algae and Marine Biology,Jinan University,Guangzhou 510632,China
文献出处：
引用格式：
[1]Wei XU;Jie NIU;Wenyu GAN;Siyu GOU;Shuai ZHANG;Han QIU;Tianjiu JIANG-.Identificationofparalyticshellfishtoxin-producingmicroalgae using machine learning and deep learning methods)[J].海洋湖沼学报（英文版）,2022(06):2202-2217
A类：
Identificationofparalyticshellfishtoxin,producingmicroalgae,Paralytic
B类：
using,machine,learning,deep,methods,poisoning,PSP,one,harmful,algal,blooms,causes,great,damage,offshore,fishery,marine,culture,ecological,environment,At,present,there,technique,real,accurate,identification,toxic,by,combining,three,dimensional,fluorescence,ML,DL,we,developed,classify,average,classification,accuracies,these,above,discriminating,species,When,emission,wavelength,characteristics,bands,excitation,occur,differently,respectively,models,support,vector,nearest,neighbor,rule,convolutional,neural,network,indicating,that,suitable
AB值：
0.4448
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