Matches in SemOpenAlex for { <https://semopenalex.org/work/W4293093804> ?p ?o ?g. }
Showing items 1 to 49 of
49
with 100 items per page.
- W4293093804 abstract "The concentration of chl-a is one of the important criteria for water quality evaluation. The spectral data of water is closely related to the composition of water. The spectral reflectance data reflects a large amount of water quality information. Therefore, the health of water quality can be judged by analyzing the spectral reflectance. Aiming at the problem of slow convergence speed of neural network, genetic algorithm (GA) is used to optimize the initial parameters of the network, establish the relationship model between spectral reflectance, month and chl-a concentration in water, and analyze and predict the chl-a concentration in water. The results show that the determination coefficient of the optimal model for predicting chl-a concentration by GA-BP combined with monthly characteristics is 0.9561 and the root mean square error is 1.4751$mu$G/L, the modeling effect is the best compared with other methods. Therefore, this method can realize the function of analyzing and monitoring water quality and meet the application requirements." @default.
- W4293093804 created "2022-08-26" @default.
- W4293093804 creator A5022281342 @default.
- W4293093804 creator A5035292460 @default.
- W4293093804 creator A5035350397 @default.
- W4293093804 creator A5038827352 @default.
- W4293093804 creator A5055913258 @default.
- W4293093804 creator A5084313094 @default.
- W4293093804 date "2022-04-22" @default.
- W4293093804 modified "2023-09-27" @default.
- W4293093804 title "Application of GA-BP neural network in prediction of chl-a concentration in Wuliangsu Lake" @default.
- W4293093804 doi "https://doi.org/10.1109/icgmrs55602.2022.9849277" @default.
- W4293093804 hasPublicationYear "2022" @default.
- W4293093804 type Work @default.
- W4293093804 citedByCount "1" @default.
- W4293093804 countsByYear W42930938042023 @default.
- W4293093804 crossrefType "proceedings-article" @default.
- W4293093804 hasAuthorship W4293093804A5022281342 @default.
- W4293093804 hasAuthorship W4293093804A5035292460 @default.
- W4293093804 hasAuthorship W4293093804A5035350397 @default.
- W4293093804 hasAuthorship W4293093804A5038827352 @default.
- W4293093804 hasAuthorship W4293093804A5055913258 @default.
- W4293093804 hasAuthorship W4293093804A5084313094 @default.
- W4293093804 hasConcept C154945302 @default.
- W4293093804 hasConcept C39432304 @default.
- W4293093804 hasConcept C41008148 @default.
- W4293093804 hasConcept C50644808 @default.
- W4293093804 hasConceptScore W4293093804C154945302 @default.
- W4293093804 hasConceptScore W4293093804C39432304 @default.
- W4293093804 hasConceptScore W4293093804C41008148 @default.
- W4293093804 hasConceptScore W4293093804C50644808 @default.
- W4293093804 hasFunder F4320321001 @default.
- W4293093804 hasFunder F4320322868 @default.
- W4293093804 hasLocation W42930938041 @default.
- W4293093804 hasOpenAccess W4293093804 @default.
- W4293093804 hasPrimaryLocation W42930938041 @default.
- W4293093804 hasRelatedWork W1583013743 @default.
- W4293093804 hasRelatedWork W2052252396 @default.
- W4293093804 hasRelatedWork W2054770551 @default.
- W4293093804 hasRelatedWork W2102025433 @default.
- W4293093804 hasRelatedWork W2163889735 @default.
- W4293093804 hasRelatedWork W2328625172 @default.
- W4293093804 hasRelatedWork W2356288640 @default.
- W4293093804 hasRelatedWork W2371602754 @default.
- W4293093804 hasRelatedWork W4281693556 @default.
- W4293093804 hasRelatedWork W2321516359 @default.
- W4293093804 isParatext "false" @default.
- W4293093804 isRetracted "false" @default.
- W4293093804 workType "article" @default.