A Principal Component Analysis and Deep Back-Propagation Neural Network-based Approach to Gasoline Quality Prediction

In this work, an attempt has been made to enhance the diagnostic relevance of spirometric pulmonary function test using neural networks and Principal Component Analysis (PCA). For this study, flow---volume curves (N = 175) using spirometers were ...

A novel method for forecasting the silicon content in hot metal is proposed using principal component analysis (PCA) and BP network. PCA can consider the correlations among multiple quality characteristics to obtain uncorrelated principal components. ...

When using probabilistic neural network (PNN) to recognize human speaker, there exists structure complex problems if the training sample amount is large and the redundancy degree is high. To overcome this shortcoming, this paper proposes a method of ...