Catalytic thermal degradation of Chlorella vulgaris: Evolving deep neural networks for optimization

[Display omitted] •Thermal behavior of C. vulgaris were analyzed.•Effects of the presence of limestone and HZSM-5 zeolite catalysts were investigated.•Novel PDSE neuro-evolution algorithm was proposed for neural architecture search.•Neuro-evolution achieved RMSE of 0.005–0.007, considered state-of-a...

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Veröffentlicht in:	Bioresource technology 2019-11, Vol.292, p.121971-121971, Article 121971
Hauptverfasser:	Teng, Sin Yong, Loy, Adrian Chun Minh, Leong, Wei Dong, How, Bing Shen, Chin, Bridgid Lai Fui, Máša, Vítězslav
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neuron network Microalgae Particle swarm optimization Simulated Annealing Thermogravimetric analysis
Online-Zugang:	Volltext
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