Tree Growth Prediction Based on Neural Network Technology

Some theories about neural network technology are briefly reviewed and recapitulated, the methods of structural design of neural network and some relevant problems are studied in detail. The neural network technology is used to predict tree growth instance which deals with the growth suppressive technology under high voltage wire belonging to electric power corporation, and the obtained result is compared with that from the least squares optimization model. It is indicated that the Bp network method is of high precision and is a very effective way in solving nonlinear system problems.