State Prediction of Algae Reproduction Based on Learning Algorithm of Fuzzy Nearest Neighbor Clustering

Ying Zhang

doi:10.4028/www.scientific.net/AMR.356-360.929

Paper Titles

Investigation of PCDD/Fs, Dioxin-Like PCBs and Metal Element in Honey from Taiwan and Mainland China
p.908

The Sedimentary Environment of Current Estuary and Abandoned Estuary at the Modern Yellow River Delta
p.914

Spectrophotometric Determination of Trace Cetyltrimethyl Ammonium Bromide by Nanosilver
p.920

Research on Influencing Factors of Water Environment in the Typical Western of Taihu Lake Based on the Principal Component Analysis - A Case Study of Tianmuhu Lake and Gehu Lake in Jiangsu Province
p.924

State Prediction of Algae Reproduction Based on Learning Algorithm of Fuzzy Nearest Neighbor Clustering
p.929

Migration of Trace Elements in Fushun Oil Shale during Self-Combustion and its Environmental Significance
p.933

Determination of Chromium(VI) in Waste Water by Reversed Flow Injection Spectrophotometry
p.939

Influence of Inorganic Salts on Concentration of Different Cd Forms in the Soil
p.943

Determination of the Odorous Compounds in the Source of Drinking Water by Solid-Phase Microextraction and Gas Chromatography-Mass Spectrometry
p.951

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 356-360State Prediction of Algae Reproduction Based on...

State Prediction of Algae Reproduction Based on Learning Algorithm of Fuzzy Nearest Neighbor Clustering

Abstract:

In order to forecast the occurrence of red tide in the ocean, it is necessary to observe the state of algae reproduction in seawater. A method was proposed for forecasting the state of algae reproduction indirectly by modeling to predict the concentration of chlorophyll-a. Data-driven learning algorithm of fuzzy nearest neighbor clustering was used for pretreatment of sampling data. State prediction model for concentration of chlorophyll-a in seawater was built based on the optimal fuzzy logic system. Considering the character of sampling data and the demand of decreasing the rank of the model, a kind of improved learning algorithm of fuzzy nearest neighbor clustering was designed, and it was used in the state prediction for concentration of chlorophyll-a. The experiment indicates that the improved method can effectively extract the character of sampling data, reduce the dimension of the data, and improve the convergence speed of algorithm learning. The improved fuzzy nearest neighbor clustering algorithm reduces the complexity of modeling for prediction, and this kind of model has fine performance of generalization. It can effectively predict the state of algae reproduction in seawater.