Pyrolysis Modeling with Enhanced Predictive Capabilities

Abstract

The objective of this study was to formulate a new methodology for the preparation of input files for pyrolysis models that is based on an Artificial Neural Network (ANN) approach. Data obtained on a set of 46 diverse samples indicate that Artificial Neural Network models can be successfully used to generate pyrolysis-model input parameters for samples with an unknown pyrolysis behavior. The results look promising and further study of this approach is needed.