scholarly journals APPLICATION OF D-OPTIMAL MIXTURE DESIGN AND ARTIFICIAL NEURAL NETWORK IN OPTIMIZING THE COMPOSITION OF FLOURS FOR PREPARATION OF GLUTEN-FREE BREAD

2021 ◽  
Vol 11 (2) ◽  
Author(s):  
Dileshwar Pradhan
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Mixture Design ◽  
Gluten Free ◽  
Artificial Neural

scholarly journals Physicochemical Changes of the Gluten-Free Rice-Buckwheat Cookies during Storage – Artificial Neural Network Model

2019 ◽  
Author(s):  
Mladenka Pestorić ◽  
Marijana Sakač ◽  
Lato Pezo ◽  
Dubravka Škrobot ◽  
Nataša Nedeljković ◽  
...  
Keyword(s):  
Neural Network ◽  
Mathematical Model ◽  
Artificial Neural Network ◽  
Principal Component ◽  
Physicochemical Characteristics ◽  
Storage Conditions ◽  
Gluten Free ◽  
Physicochemical Changes ◽  
Artificial Neural

The influence of storage time, temperature, and packaging on some physicochemical characteristics of gluten-free rice-buckwheat cookies was studied. Shelf life markers, such as water activity (aw), hydroxymethylfurfural (HMF), firmness, and color parameters were modelled in relation to different storage conditions. Principal component analysis was applied to study the similarity among samples according to the observed parameters. The mathematical model in the form of an artificial neural network was developed to predict the physicochemical parameters of cookies during 6-month storage. The most evident differentiation among samples was observed for color coordinate a*, aw , and HMF. Regarding the methods for determination of the parameters, priority should be given to the instrumental determination of color as the most convenient method. The processing of experimental data allowed the creation of useful mathematical model to be used in predicting the behavior of physicochemical changes of cookies by different factor combinations during storage.

Artificial neural network employment for element determination in Mugil cephalus by ICP OES in Pontal Bay, Brazil

2020 ◽  
Vol 12 (29) ◽  
pp. 3713-3721
Author(s):  
Milana Aboboreira Simões Batista ◽  
Luana Novaes Santos ◽  
Bruna Cirineu Chagas ◽  
Ivon Pinheiro Lôbo ◽  
Cleber Galvão Novaes ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Sample Preparation ◽  
Chemical Elements ◽  
Mixture Design ◽  
Mugil Cephalus ◽  
Self Organizing Map ◽  
Icp Oes ◽  
Element Determination ◽  
Artificial Neural

Mixture design applied to sample preparation of Mugil cephalus and exploratory evaluation of the concentrations of chemical elements using Kohonen Self-Organizing Map (KSOM) combined with Artificial Neural Network (ANNs).

Autofluorescence spectroscopy of oral leukoplakia using an artificial neural network

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 ◽  
Artificial Neural Network ◽  
Oral Leukoplakia ◽  
Autofluorescence Spectroscopy ◽  
Artificial Neural

1902: Is Steinstrasse After ESWL of Renal Stones Predictable? Artificial Neural Network Analysis

2004 ◽  
Vol 171 (4S) ◽  
pp. 502-503
Author(s):  
Mohamed A. Gomha ◽  
Khaled Z. Sheir ◽  
Saeed Showky ◽  
Khaled Madbouly ◽  
Emad Elsobky ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Network Analysis ◽  
Renal Stones ◽  
Neural Network Analysis ◽  
Artificial Neural Network Analysis ◽  
Artificial Neural

Forecasting travel demand: a comparison of logit and artificial neural network methods

1998 ◽  
Vol 49 (7) ◽  
pp. 717-722 ◽  
Author(s):  
M C M de Carvalho ◽  
M S Dougherty ◽  
A S Fowkes ◽  
M R Wardman
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Travel Demand ◽  
Network Methods ◽  
Artificial Neural
Sign in / Sign up

Export Citation Format

Share Document