This paper introduces a soft-sensing method of the sand-slurry concentration measurement which was involved in filling system based upon RBF neural network,which is fully characterized by the advantage and neural network s classificatory ability.

This paper introduces a improved RBF Neural Network(RBFNN) for modeling with a improved arithmetic to fix on the parameter of latent node and apply it to a sand-slurry concentration measurement.

Characteristics of temporal and spatial variation of suspended sediment concentration in the Changjiang Estuary;

Temporal variations of suspended sediment concentration in the Turbidity Maximum Zone in the south passage of Changjiang River Estuary;

A flume experiment was carried out to investigate the distribution of the suspended sediment concentration under the breaking waves.

Based on the relation of the turbid density and sediment concentration,the relationship between the sediment dry density and the concentration of slurry was established.

The method and application of OBS in the measurement of sediment concentration;

Experimental study of vertical distribution of sediment concentration in "sediment-laden" flow;

In this paper,we have studied the distribution law of granule uniformity along depth under different sediment concentrations,and hydraulic conditions in flume.

Velocity and solid transportation concentration of viscous debris flow;