Comparison of the Hebbian Algorithm Based on Input and Output Patterns in the Prediction of Lung Cancer in Smokers

Tantri Sinaga, Arie Rafika Dewi, Masdiana Sagala, Yulia Dalimunthe, Solikhun

2023

Abstract

The Hebbian algorithm learning method is a learning method that is carried out by fixing the weight values so that if there are 2 neurons connected and both are alive at the same time, the weight between the two is increased. This study’s main problem is finding the best performance of the Hebbian algorithm to predict lung cancer in smokers. There are 15 attributes to determine lung cancer, namely: gender(x1), age(x2), smoking(x3), yellow finger(x4), anxiety(x5), social pressure(x6), chronic diseases(x7), fatigue(x8), allergies(x9 ), wheezing(x10), consumption of alcohol(x11), cough (x12), shortness of Breath(x13), hard to swallow(x14) and chest Pain(x15). This study compares the Hebbian algorithm with four forms of test simulation with four states of input and output patterns. The test simulation results show the best accuracy is with binary data input patterns and binary and bipolar output patterns. The accuracy obtained is 65%.

Paper Citation

in Harvard Style

Sinaga T., Dewi A., Sagala M., Dalimunthe Y. and Solikhun. (2023). Comparison of the Hebbian Algorithm Based on Input and Output Patterns in the Prediction of Lung Cancer in Smokers. In Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD; ISBN 978-989-758-678-1, SciTePress, pages 275-280. DOI: 10.5220/0012448100003848

in Bibtex Style

@conference{icaisd23,
author={Tantri Sinaga and Arie Rafika Dewi and Masdiana Sagala and Yulia Dalimunthe and Solikhun},
title={Comparison of the Hebbian Algorithm Based on Input and Output Patterns in the Prediction of Lung Cancer in Smokers},
booktitle={Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD},
year={2023},
pages={275-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012448100003848},
isbn={978-989-758-678-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD
TI - Comparison of the Hebbian Algorithm Based on Input and Output Patterns in the Prediction of Lung Cancer in Smokers
SN - 978-989-758-678-1
AU - Sinaga T.
AU - Dewi A.
AU - Sagala M.
AU - Dalimunthe Y.
AU - Solikhun.
PY - 2023
SP - 275
EP - 280
DO - 10.5220/0012448100003848
PB - SciTePress