Pages that link to "Item:Q2282710"
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The following pages link to Integrating support vector regression with particle swarm optimization for numerical modeling for algal blooms of freshwater (Q2282710):
Displaying 11 items.
- A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (northern Spain) (Q313682) (← links)
- A hybrid PSO optimized SVM-based model for predicting a successful growth cycle of the \textit{Spirulina platensis} from raceway experiments data (Q491044) (← links)
- Forecasting and explanation of algal dynamics in two shallow lakes by recurrent artificial neural network and hybrid evolutionary algorithm (Q929737) (← links)
- A cooperative particle swarm optimization with constriction factor based on simulated annealing (Q1616591) (← links)
- A hybrid PSO optimized SVM-based method for predicting of the cyanotoxin content from experimental cyanobacteria concentrations in the trasona reservoir: a case study in northern Spain (Q1643054) (← links)
- Predictive modelling of eutrophication in the Pozón de la Dolores lake (Northern Spain) by using an evolutionary support vector machines approach (Q1709394) (← links)
- Research on the concentration prediction of nitrogen in red tide based on an optimal grey Verhulst model (Q1793872) (← links)
- The adaptive-clustering and error-correction method for forecasting cyanobacteria blooms in lakes and reservoirs (Q1798507) (← links)
- AI-HydSu: an advanced hybrid approach using support vector regression and particle swarm optimization for dissolved oxygen forecasting (Q1984109) (← links)
- A hybrid DE optimized wavelet kernel SVR-based technique for algal atypical proliferation forecast in La Barca reservoir: a case study (Q2332723) (← links)
- An integrated quality and maintenance model for two-unit series systems (Q5088011) (← links)
