find some papers and read one of them

Today, I found some papers and read one of them. I found some perspectives which could be useful for my research.

Summary:

The paper is called "methods to improve neural network performance in suspended sediment estimation".
months ago, I have searched ANN application in petroleum industry for several times, but they all just introduce ANN superficially and not in detail. So I decide to search for papers about ANN in other areas. As long as they explain ANN in detail and introduc methods to improve ANN prediction performance, it will be helpful for my research.

In the paper, it compares several models to do prediction:

RDNN: range-dependent neural network

ANN: artificial neural network

LR: naïve linear regression

RDLR (RLR): range-dependent multi-linear regression

In conclusion, RDNN performs best, it sets input data and output data into three subsets and predict each set with a different model, with every set a smaller scale compared with the entire one.

Second, it said we should set the best number of neurons and hidden layers, but it does not say how to do it.

Tomorrow, I will continue to try the two methods for my research. If they do not work, I will read more papers.