Backpropagation and fuzzy algorithm Modelling to Resolve Blood Supply Chain Issues in the Covid-19 Pandemic
Bloodstock shortages and its uncertain demand has become a major problem for all countries worldwide. Therefore, this study aims to provide solution to the issues of blood distribution during the Covid-19 Pandemic at Bengkulu, Indonesia. The Backpropagation algorithm was used to improve the possibility of discovering available and potential donors. Furthermore, the distances, age, and length of donation were measured to obtain the right person to donate blood when it needed. The Backpropagation uses three input layers to classify eligible donors, namely age, body, weight, and bias. In addition, the system through its query automatically counts the variables via the Fuzzy Tahani and simultaneously access the vast database.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
A novel algorithm for segmentation of leukocytes in peripheral blood
In the detection of anemia, leukemia and other blood diseases, the number and type of leukocytes are essential evaluation parameters. However, the conventional leukocyte counting method is not only quite time-consuming b…
Identification and Counting White Blood Cells and Red Blood Cells using Image Processing Case Study of Leukemia
Leukemia is diagnosed with complete blood counts which is by calculating all blood cells and compare the number of white blood cells (White Blood Cells / WBC) and red blood cells (Red Blood Cells / RBC). Information obta…
AllDiagnosticEdge DetectionA fuzzy adaptive evolutionary-based feature selection and machine learning framework for single and multi-objective body fat prediction
Predicting body fat can provide medical practitioners and users with essential information for preventing and diagnosing heart diseases. Hybrid machine learning models offer better performance than simple regression anal…
feature selectionHybrid Machine LearningArtificial neural networks and fuzzy logic for recognizing alphabet characters and mathematical symbols
Optical Character Recognition software (OCR) are important tools for obtaining accessible texts. We propose the use of artificial neural networks (ANN) in order to develop pattern recognition algorithms capable of recogn…
Image SegmentationOptical Character RecognitionOptical Character Recognition (OCR)Semantic SegmentationSolution of System of Linear Equations - A Neuro-Fuzzy Approach
Neuro-Fuzzy Modeling has been applied in a wide variety of fields such as Decision Making, Engineering and Management Sciences etc. In particular, applications of this Modeling technique in Decision Making by involving c…
Decision MakingManagement