The Research Of Based Neural Network On Ash Slagging Characteristic

Ash slagging characteristics not only depends mainly on the percentage of ash content in the chemical composition,but also depends on the melting point temperature of the material.But in the ash various chemical composition content and the ash melting point also have certain relation,then may estimate the ash fusing characteristic.This article applies BP neural network to researching the relations betweens ash various components content and ash melting characteristic.Through to 170 groups of data,applying neural network to the analysis and forecasting the ash melting temperature,these promulgates each algorithm of BP neural network's characteristic as well as the advantages in researching of this article's content.Carrying on the experiment when changing the main parameter,to increaseing the precision of the BP neural network's forecasting characteristic.On the end,the article through analysis forecast error spot,promulgating the primary factor of influencing melting characteristic.