2005
DOI: 10.1016/j.jcat.2004.11.024
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Optimisation of olefin epoxidation catalysts with the application of high-throughput and genetic algorithms assisted by artificial neural networks (softcomputing techniques)

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Cited by 83 publications
(60 citation statements)
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“…Both a full factorial approach and search algorithms have found application in HTE studies of the catalytic epoxidation of alkenes. [20,21] …”
Section: Introductionmentioning
confidence: 99%
“…Both a full factorial approach and search algorithms have found application in HTE studies of the catalytic epoxidation of alkenes. [20,21] …”
Section: Introductionmentioning
confidence: 99%
“…The results indicate that the predominant product was cyclohexene oxide [37]. In another study, TiO2-MCM-48 was prepared by a hydrothermal method at 150 °C for 20 h and using a gemini surfactant.…”
Section: Introductionmentioning
confidence: 98%
“…Titania based MCM-48 materials have been utilized for selective oxidation of styrene [31], 2,6-di-tert-butylphenol [32,33], methyloleate [34], and cyclohexene [25,[35][36][37][38][39]. TiO2-MCM-48 prepared by a hydrothermal method was examined for the catalytic oxidation of cyclohexene.…”
Section: Introductionmentioning
confidence: 99%
“…Está basado en técnicas Soft Computing, combinando algoritmos genéticos y redes neuronales, siendo fruto de la evolución de las soluciones planteadas anteriormente en nuestros trabajos previos [Corma et al, 2002a;Valero et al, 2004b;Corma et al, 2005;Serra, 2004;Valero et al, 2004a].…”
Section: Métodos Híbridosunclassified