Application of ‘ADALINE’ Artificial Neural Network for Decision Making of Classroom Type in Schools at Elementary Level

In this era of Technologies almost none area is untouched .In this view if we talk about the primary education, it can be said that the technology is not so much applied here. In this research paper artificial neural network under deep learning Named as ADALINE (Adaptive Linear Neural Element Network) will be applied for classification of students as ‘regular’ or ‘special’ in schools at elementary level. For the decision of classification reading test and writing test will be performed. The student securing less than the minimum standard score will enter in special class otherwise regular class will be allotted to students. ADALINE makes use of supervised learning where it uses training algorithm and then find the target output. Keywords: ADALINE, Weight update, Decision making, supervised learning, intelligent system.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2024-12-19
DOI
https://doi.org/10.55041/ijsrem39890
Primary Topic
Data Mining and Machine Learning Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Application of ‘ADALINE’ Artificial Neural Network for Decision Making of Classroom Type in Schools at Elementary Level

Amit Kumar Roy
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Data Mining and Machine Learning Applications
article

Application of ‘ADALINE’ Artificial Neural Network for Decision Making of Classroom Type in Schools at Elementary Level

Amit Kumar Roy
article en

Abstract

In this era of Technologies almost none area is untouched .In this view if we talk about the primary education, it can be said that the technology is not so much applied here. In this research paper artificial neural network under deep learning Named as ADALINE (Adaptive Linear Neural Element Network) will be applied for classification of students as ‘regular’ or ‘special’ in schools at elementary level. For the decision of classification reading test and writing test will be performed. The student securing less than the minimum standard score will enter in special class otherwise regular class will be allotted to students. ADALINE makes use of supervised learning where it uses training algorithm and then find the target output. Keywords: ADALINE, Weight update, Decision making, supervised learning, intelligent system.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 08(12)
Openalex Percentile: Top 63%
Data Mining and Machine Learning Applications
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