Prediction of overall glucose yield in hydrolysis of pretreated sugarcane bagasse using a single artificial neural network: good insight for process development

Sugarcane Bagasse ◽

Process Development ◽

Glucose Yield ◽

Good Insight ◽

Artificial Neural ◽

Pretreated Sugarcane Bagasse ◽

Network Good ◽

Product and process development using artificial neural-network model and information analysis

AIChE Journal ◽

10.1002/aic.690440413 ◽

1998 ◽

Vol 44 (4) ◽

pp. 876-887 ◽

Cited By ~ 30

Author(s):

Junghui Chen ◽

David Shan Hill Wong ◽

Shi-Shang Jang ◽

Seng-Lu Yang

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Process Development ◽

Information Analysis ◽

Artificial Neural ◽

Product And Process

Comparison of response surface methodology and artificial neural network applied to enzymatic hydrolysis of rapeseed straw

Journal of Biotechnology ◽

10.1016/j.jbiotec.2010.08.360 ◽

2010 ◽

Vol 150 ◽

pp. 137-137

Author(s):

E. Castro ◽

C. Cara ◽

M.J. Jesus ◽

V. Rivas

Keyword(s):

Neural Network ◽

Response Surface Methodology ◽

Enzymatic Hydrolysis ◽

Response Surface ◽

Rapeseed Straw ◽

Artificial Neural ◽

Artificial neural network for prediction of color adsorption from an industrial textile effluent using modified sugarcane bagasse: Characterization, kinetics and isotherm studies

Environmental Nanotechnology Monitoring & Management ◽

10.1016/j.enmm.2020.100387 ◽

2020 ◽

Vol 14 ◽

pp. 100387

Author(s):

Vitória Brocardo de Leon ◽

Bruno Azevedo Ferraz de Negreiros ◽

Claiton Zanini Brusamarello ◽

Gustavo Petroli ◽

Michele Di Domenico ◽

...

Keyword(s):

Neural Network ◽

Sugarcane Bagasse ◽

Textile Effluent ◽

Artificial Neural

OPTIMIZATION OF MICROWAVE ASSISTED H2SO4 HYDROLYSIS OF COCOA POD SHELLS: COMPARISON BETWEEN RESPONSE SURFACE METHODOLOGY AND ARTIFICIAL NEURAL NETWORK AND PRODUCTION OF BIOETHANOL THEREOF

Journal of Microbiology Biotechnology and Food Sciences ◽

10.15414/jmbfs.2018.7.5.473-477 ◽

2018 ◽

Vol 7 (5) ◽

pp. 473-477 ◽

Cited By ~ 1

Keyword(s):

Neural Network ◽

Response Surface Methodology ◽

Response Surface ◽

Microwave Assisted ◽

Artificial Neural ◽

Modeling the tryptic hydrolysis of pea proteins using an artificial neural network

LWT ◽

10.1016/j.lwt.2007.06.021 ◽

2008 ◽

Vol 41 (5) ◽

pp. 942-945 ◽

Cited By ~ 7

Author(s):

Adam Buciński ◽

Magdalena Karamać ◽

Ryszard Amarowicz ◽

Ronald B. Pegg

Keyword(s):

Neural Network ◽

Pea Proteins ◽

Artificial Neural ◽

Hydrolysis Of ◽

Tryptic Hydrolysis

Using an artificial neural network to predict the optimal conditions for enzymatic hydrolysis of apple pomace

3 Biotech ◽

10.1007/s13205-017-0754-1 ◽

2017 ◽

Vol 7 (2) ◽

Cited By ~ 5

Author(s):

Repson Gama ◽

J. Susan Van Dyk ◽

Mike. H. Burton ◽

Brett I. Pletschke

Keyword(s):

Neural Network ◽

Enzymatic Hydrolysis ◽

Apple Pomace ◽

Optimal Conditions ◽

Artificial Neural ◽

Prediction of sugar yields during hydrolysis of lignocellulosic biomass using artificial neural network modeling

Bioresource Technology ◽

10.1016/j.biortech.2015.01.083 ◽

2015 ◽

Vol 188 ◽

pp. 128-135 ◽

Cited By ~ 43

Author(s):

Sankar Vani ◽

Rajeev Kumar Sukumaran ◽

Sivaraman Savithri

Keyword(s):

Neural Network ◽

Lignocellulosic Biomass ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling ◽

Artificial Neural ◽

An artificial neural network approach to estimating the enzymatic hydrolysis of Chinese yam (Dioscorea opposita Thunb.) starch

Journal of Food Processing and Preservation ◽

10.1111/jfpp.13176 ◽

2017 ◽

Vol 41 (5) ◽

pp. e13176 ◽

Cited By ~ 4

Author(s):

Baomiao Ding ◽

Li Li ◽

Hualin Yang

Keyword(s):

Neural Network ◽

Artificial Neural Network Approach

Enzymatic Hydrolysis ◽

Network Approach ◽

Neural Network Approach ◽

Chinese Yam ◽

Dioscorea Opposita ◽

Artificial Neural ◽

Hydrolysis Of ◽

Process development for isolation of dietary eugenol from leaves of basil (Ocimum sanctum) in combination of optimization of process variables and modeling by artificial neural network

Journal of the Indian Chemical Society ◽

10.1016/j.jics.2021.100280 ◽

2021 ◽

pp. 100280

Author(s):

Susanta Ghanta ◽

Chanchal Bhaumik ◽

Mriganka Sekhar Manna

Keyword(s):

Neural Network ◽

Process Development ◽

Ocimum Sanctum ◽

Process Variables ◽

Artificial Neural

Autofluorescence spectroscopy of oral leukoplakia using an artificial neural network

Clinical Otolaryngology ◽

10.1046/j.1365-2273.2000.00358-12.x ◽

2000 ◽

Vol 25 (4) ◽

pp. 325-325

Author(s):

J.L.N. Roodenburg ◽

H.J. Van Staveren ◽

N.L.P. Van Veen ◽

O.C. Speelman ◽

J.M. Nauta ◽

...

Keyword(s):

Neural Network ◽

Oral Leukoplakia ◽

Autofluorescence Spectroscopy ◽

Artificial Neural