Device for Automatic Particle Size Analysis and the of Sedimentation Using Pattern Recognition

Abstract

This article describes the operation of an device for automatic particle size analysis and the of sedimentation using pattern recognition. The device performs measurement in 32 levels and for each level an electric voltage curve is generated; the combination of the 32 curves forms a data matrix that characterizes the soil sedimentation behavior. The matrix is then subjected to classification by pattern recognition by neural network perceptron of multiple layers; previously trained with reference samples. The neural network classifies the soil texture by identifying the probabilities of the sample being tested as one of the reference samples.