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Date of Publication:2007-01-01

Journal:太阳能学报

Issue:7

Page Number:793-798

ISSN No.:0254-0096

Abstract:On the basis of experimental results, artificial fish swarm algorithm (AFSA) was employed to optimize the topology structure of neural network, which the main parameters of influencing the hydrogen production quantity were obtained and the optimized neural network prediction model for predicting the technology of biological hydrogen production was formed. Finally the main factors of hydrogen production were optimized by adopting AFSA, which the best condition combination of hydrogen production for getting a maximum hydrogen production quantity was searched out. The experiments showed that its results have an important guiding significance for the biological hydrogen production. And the research provides a brand new way for the technology of biological hydrogen production by solar energy.

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