The Study on the Forecasting Methods of Urbanization level——Taking BP Neural Network Model as an Example;

Through the establishment of water environment management information system of Supa River basin, an improved BP neural network model made for the comprehensive assessment on the water quality of the basin concerned is presented in accordance with the condition with better water quality and without any principal economic industries therein.

It is introduced that the BP neural network model of prediction of mining collapse is established based on the survey′s data and main factors at a mine field where the collapse had happen.

Application of neural network model in petroleum resource predication;

Artificial neural network model supporting decision-making of product procedure;

Urban forest remote sensing investigation based on neural network model technology in the main city of Nanjing;

Studies on Planthoppers Occurrence Degree with the Artificial Neural Network;

The electric-thermal parameters of the bridgewire electric explosive device such as resistance and heat loss coefficient were measured with the non-destructive transient pulse test system under non-destructive conditions,then the no-firing current of the electric explosive device was predicated using the Rosenthal mathematical model and the back-propagation(BP) artificial neural network model.

In this paper,a knowledge based artificial neural network is used to model the microstrip radial stub.