摘要
在部分实验获得的样本数据基础上,引入全局寻优人工鱼群优化算法(AFSA),通过AFSA优化神经网络结构,获得影响制氢的最相关因素,建立了光合细菌产氢特性模型;再用AFSA对已确定的主要工艺条件进行优化,寻到了最大产氢量的最佳工艺条件组合。实验证明优化结果具有实际指导意义,为太阳能光合细菌制氢工艺优化探索了一条新途径。
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.
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2007年第7期793-798,共6页
Acta Energiae Solaris Sinica
基金
国家自然科学基金(50476087)
国家高技术研究发展计划(2004AA515010)
河南省教育厅自然基金(2004922023)
关键词
光合细菌
制氢
太阳能
人工鱼群算法
神经网络
photosynthetie bacteria
hydrogen production
solar energy
artificial fish swarm algorithm
neural network
