The prediction mode of neural net on pyrolysis product of solid waste
LI Ai-min WANG Zhi WEI Li - hong YAO Wei (Shenyang Institute of Aeronautical Engineering,Liaoning shenyang 110034)
In this paper,a prediction model is constructed to anticipate the productivity and characteristics of pyrolysis product of MSW by use of three layer BP neural net. The GA - BP method is introduced to optimize the number of hidden nodes and learning rate(η). Comparing with regress equation,the errors of predicted results of network are much smaller.