A spreadsheet aided fuzzy logic model for predicting chapati making quality characteristics of Indian wheat varieties was created. Data collected from 19 randomly selected wheat varieties were used. Starch damage, Farinograph water absorption as input variables and chapati overall score as output variable were fuzzified by the use of excel spreadsheet and defuzzification was carried out using weighted average method. Fuzzy model was compared with the regression model of measured data for its error levels and ease of application. Standard error of estimate of fuzzy model was smaller (1.825) than measured (2.895) chapati quality score regression model.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3551165 | PMC |
| http://dx.doi.org/10.1007/s13197-011-0250-2 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Therapeutic potential of 2S-hesperidin against the hepatotoxic effects of Dichlorvos in rats.
Food Chem Toxicol
December 2024
Clinical Biochemistry and Mechanistic Toxicology Research Cluster, Department of Biochemistry, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria.
Dichlorvos (DDVP) is an organophosphate insecticide that enhances food production and repels disease vectors. However, it provokes cytotoxicity. 2S-hesperidin (2S-HES) is a potent antioxidant, anti-inflammatory, and anti-lipidemic flavanone.
View Article and Find Full Text PDFThe analysis of urban collaborative governance in public health emergencies with fuzzy theory based on BP algorithm.
Sci Rep
December 2024
School of Management Science and Engineering, Shandong Jianzhu University, Jinan, 250101, China.
This study seeks to improve urban supply chain management and collaborative governance in the context of public health emergencies (PHEs) by integrating fuzzy theory with the Back Propagation Neural Network (BPNN) algorithm. By combining these two approaches, an early warning mechanism for supply chain risks during PHEs is developed. The study employs Matlab software to simulate supply chain risks, incorporating fuzzy inference techniques with the adaptive data modeling capabilities of neural networks for both training and testing.
View Article and Find Full Text PDFComputer model for gait assessments in Parkinson's patients using a fuzzy inference model and inertial sensors.
Artif Intell Med
December 2024
Escuela Nacional de Medicina y Homeopatía, Instituto Politécnico Nacional, Guillermo Massieu 239, 07320 Mexico City, Mexico.
Patients with Parkinson's disease (PD) in the moderate and severe stages can present several walk alterations. They can show slow movements and difficulty initiating, varying, or interrupting their gait; freezing; short steps; speed changes; shuffling; little arm swing; and festinating gait. The Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) has a good reputation for uniformly evaluating motor and non-motor aspects of PD.
View Article and Find Full Text PDFAn integrated fuzzy neural network model for surgical approach selection using double hierarchy linguistic information.
Comput Biol Med
December 2024
Department of Mathematics, Abdul Wali Khan University Mardan, Mardan, KP, Pakistan. Electronic address:
The selection of the most effective surgical approach is a critical decision in major surgery. With several approaches available, it is important to select the one that will have the most beneficial effect on the patient's health. Multi criteria decision making techniques are essential for identifying the most effective surgical approach to optimize patient health.
View Article and Find Full Text PDFPredictive modeling of diazinon residual concentration in soils contaminated with potentially toxic elements: a comparative study of machine learning approaches.
Biodegradation
December 2024
Department of Civil engineering, Islamic Azad university, Mashhad Branch, Iran.
The widespread use of pesticides, including diazinon, poses an increased risk of environmental pollution and detrimental effects on biodiversity, food security, and water resources. In this study, we investigated the impact of Potentially Toxic Elements (PTE) including Zn, Cd, V, and Mn on the degradation of diazinon in three different soils. We investigated the capability and performance of four machine learning models to predict residual pesticide concentration, including adaptive neuro-fuzzy inference system (ANFIS), support vector regression (SVR), radial basis function (RBF), and multi-layer perceptron (MLP).
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!