Hybrid neural network modeling and particle swarm optimization for improved ethanol production from cashew apple juice

Author:

da Silva Pereira Andréa,Pinheiro Álvaro Daniel Teles,Rocha Maria Valderez Ponte,Gonçalves Luciana Rocha B.ORCID,Cartaxo Samuel Jorge Marques

Funder

Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

General Medicine,Bioengineering,Biotechnology

Reference34 articles.

1. Anderson ST (2012) The demand for ethanol as a gasoline substitute. J Environ Econ Manage 63(2):151–168. https://doi.org/10.1016/j.jeem.2011.08.002

2. (IEA), I.E. A. (2015) Medium-term renewable energy market report. OECD/IEA, Paris

3. International Energy Agency (2017) Renewables 2017: analysis and forecasts to 2022—executive summary. J Qual Participat. https://doi.org/10.1073/pnas.0603395103

4. Neelakandan T, Usharani G (2009) Optimization and production of bioethanol from cashew Apple juice using immobilized yeast cells by Saccharomyces cerevisiae. Am Eur J Sci Res 4:85–88

5. Karuppaya M, Sasikumar E, Viruthagiri T, Vijayagopal V (2010) Optimization of process variables using response surface methodology (RMS) for ethanol production from cashew apple juice by Saccharomyces cerevisiae. Asian J Food Agro Ind 3:462–473

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