Abstract：
:The formation process of algae is described inaccurately and water blooms are predicted with a low precision by current methods. In this paper, chemical mechanism of algae growth is analyzed, and a correlation analysis of chlorophyll-a and algal density is conducted by chemical measurement. Taking into account the influence of multi-factors on algae growth and water blooms, the comprehensive prediction method combined with multivariate time series and intelligent model is put forward in this paper. Firstly, through the process of photosynthesis, the main factors that affect the reproduction of the algae are analyzed. A compensation prediction method of multivariate time series analysis based on neural network and Support Vector Machine has been put forward which is combined with Kernel Principal Component Analysis to deal with dimension reduction of the influence factors of blooms. Then, Genetic Algorithm is applied to improve the generalization ability of the BP network and Least Squares Support Vector Machine. Experimental results show that this method could better compensate the prediction model of multivariate time series analysis which is an effective way to improve the description accuracy of algae growth and prediction precision of water blooms.
journal_name
Saudi J Biol Scijournal_title
Saudi journal of biological sciencesauthors
Wang L,Wang X,Jin X,Xu J,Zhang H,Yu J,Sun Q,Gao C,Wang Ldoi
10.1016/j.sjbs.2017.01.026subject
Has Abstractpub_date
2017-03-01 00:00:00pages
556-562issue
3eissn
1319-562Xissn
2213-7106pii
S1319-562X(17)30035-9journal_volume
24pub_type
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journal_title：Saudi journal of biological sciences
pub_type： 杂志文章
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journal_title：Saudi journal of biological sciences
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journal_title：Saudi journal of biological sciences
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journal_title：Saudi journal of biological sciences
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journal_title：Saudi journal of biological sciences
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abstract：:Antibiotic resistance is a problem of deep scientific concern both in hospital and community settings. Rapid detection in clinical laboratories is essential for the judicious recognition of antimicrobial resistant organisms. Production of extended-spectrum β-lactamases (ESBLs) is a significant resistance-mechanism tha...
journal_title：Saudi journal of biological sciences
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journal_title：Saudi journal of biological sciences
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journal_title：Saudi journal of biological sciences
pub_type： 杂志文章
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journal_title：Saudi journal of biological sciences
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journal_title：Saudi journal of biological sciences
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journal_title：Saudi journal of biological sciences
pub_type： 杂志文章
doi：10.1016/j.sjbs.2015.01.007
更新日期：2015-09-01 00:00:00
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journal_title：Saudi journal of biological sciences
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journal_title：Saudi journal of biological sciences
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journal_title：Saudi journal of biological sciences
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journal_title：Saudi journal of biological sciences
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更新日期：2014-04-01 00:00:00
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journal_title：Saudi journal of biological sciences
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journal_title：Saudi journal of biological sciences
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journal_title：Saudi journal of biological sciences
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journal_title：Saudi journal of biological sciences
pub_type： 杂志文章
doi：10.1016/j.sjbs.2018.01.007
更新日期：2019-09-01 00:00:00
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journal_title：Saudi journal of biological sciences
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更新日期：2017-02-01 00:00:00
