Multivariate steepest ascent method based on latent variables-Reference-Cited by-同舟云学术

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Multivariate steepest ascent method based on latent variables

Published:2021-02 Issue: Volume:90 Page:30-45
ISSN:0307-904X
Container-title:Applied Mathematical Modelling
language:en
Short-container-title:Applied Mathematical Modelling

Author:

Maia Paulo Roberto,Almeida Fabrício Alves de,Paes Vinicius de Carvalho^ORCID,Gomes José Henrique de Freitas,de Paiva Anderson Paulo

Publisher

Elsevier BV

Subject

Applied Mathematics,Modelling and Simulation

Reference30 articles.

1. Process Improvement with Steepest Ascent, in: Response Surface Methodology: Process and Product Optimization Using Designed Experiments;Myers,2016

2. Experimental Designs for Second Order Models, in: Process Optimization – A Statistical Approach;Del Castillo,2007

3. A confidence region for the ridge path in multiple response surface optimization;Shi;Eur. J. Oper. Res.,2016

4. Optimization of the medium composition for the submerged culture of Ganoderma lucidum by Taguchi array design and steepest ascent method;Chang;Enzyme Microb. Tech.,2006

5. Steepest Ascent for Multiple-Response;Mee;Technometrics,2008

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1. Develop a hybrid machine learning model for promoting microbe biomass production;Bioresource Technology;2023-02

2. The Technological Role of Steepest Ascent Optimization in Industry 4.0 Modeling;Innovation and Competitiveness in Industry 4.0 Based on Intelligent Systems;2023

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