Brewing process optimization by artificial neural network and evolutionary algorithm approach

Author:

Takahashi Maria Beatriz1,Coelho de Oliveira Henrique1,Fernández Núñez Eutimio Gustavo23ORCID,Rocha José Celso1

Affiliation:

1. Departamento de Ciências BiológicasUniversidade Estadual Paulista‐UNESP/Assis Assis São Paulo Brazil

2. Centro de Ciências Naturais e Humanas (CCNH)Universidade Federal do ABC Santo André São Paulo Brazil

3. Escola de Artes, Ciências e Humanidades (EACH)Universidade de São Paulo São Paulo São Paulo Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Wiley

Subject

General Chemical Engineering,Food Science

Reference48 articles.

1. Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research;Agatonovic‐Kustrin S.;Journal of Pharmaceutical and Biomedical Analysis,1999

2. Artificial neural networks: fundamentals, computing, design, and application

3. Response surface methodology (RSM) as a tool for optimization in analytical chemistry

4. Brewing

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