Application of artificial neural networks for modeling of biohydrogen production
作者： Noha Nasr , Hisham Hafez , M. Hesham El Naggar , George Nakhla
DOI: 10.1016/J.IJHYDENE.2012.12.109
关键词:
摘要: In this study, an artificial neural network (ANN) model was developed to estimate the hydrogen production profile with time in batch studies. A back propagation ANN configuration of 5e6e4e1 layers developed. The inputs were initial pH, substrate and biomass concentrations, temperature, time. training done using 313 data points from 26 published experiments. correlation coefficient between experimental estimated 0.989 for training, validating, testing model. Results showed that trained successfully predicted new a 0.976.
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