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Prediction of precipitation is very significant for dispatching and control of water in river to manage river and flood. RBF neural network trained with particle swarm optimization is presented to predict precipitation in the study. RBF neural network has strong nonlinear prediction ability, which has considerable applications. In the study, RBF neural network trained with particle swarm optimization...
Utilization efficiency forecasting of moisture content in maize has a great importance to maize production. RBF neural network is able to universal approximation. PSO-RBF neural network which combines particle swarm optimization (PSO) with RBF neural network is proposed to utilization efficiency forecasting of moisture content in maize. Maize fields of the farms in Henan province are applied to study...
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