Application of Artificial Neural Network in Countercurrent Spray Saturator
This paper presents the application of artificial neural network (ANN) in saturator. Phase Doppler Anemometry (PDA) is utilized to investigate the distribution of water droplets diameter and velocity in the saturator. The data obtained from experiment is used as input-output of ANN. Before using ANN method, some prerequisites have to be processed, including the selection of the number of input and output variables, hidden layer neurons, the network architecture and the normalization of data etc. The results indicate that the trained ANN can provide accurate prediction values which agree with real experimental data closely.
KeywordsArtificial Neural Network Hide Layer Artificial Neural Network Model Water Droplet Hide Layer Neuron
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