Backpropagation method modification using Taylor series to improve accuracy of offline neural network training

“…The test parameter used for evaluation is accuracy, whose calculation is based on the confusion matrix table. The confusion Matrix works by comparing the original class with the predicted class [5]. The form of the Confusion Matrix is depicted in Table 1.…”

Section: 3 Confusion Matrixmentioning

confidence: 99%

“…One method to create a program that can perform accurate sentiment analysis is Backpropagation Neural Network [3], [4]. Several studies have been produced regarding the use of backpropagation neural networks for research related to backpropagation neural networks, namely in research conducted regarding sentiment analysis on the Job Creation Law, the best accuracy when classification is 98% [5]. Another study on backpropagation neural networks was carried out, analyzing public figures' sentiment using backpropagation neural networks obtained an accuracy rate of 62.3% with five epochs and two hidden layer nodes [6].…”

Section: Introductionmentioning

confidence: 99%

Sentiment Analysis Using Backpropagation Method to Recognize the Public Opinion

Wiguna

Sugiartawan

Sudipa

et al. 2022

Indonesian J. Comput. Cybern. Syst.

View full text Add to dashboard Cite

Improve the service quality of tourism actors by conducting sentiment analysis on digital platforms owned by tourism businesses and collecting negative sentiments to improve the quality of services from companies owned by tourism businesses. The growth of the hospitality industry in Indonesia is experiencing rapid growth every year. The tourism industry, part of the hospitality industry, also does not escape the influence of positive and negative sentiments. One method to perform accurate sentiment analysis is Backpropagation Neural Network. Based on the results of tests on the neural network, the best accuracy is obtained when using one hidden layer with the first layer of 10 neurons. The learning rate is 0.000002, where the accuracy is 71.630%. More epochs do not guarantee better accuracy. Based on the results of the research that has been done, suggestions for further researchers are to analyze the review dataset processing method so that it gets a cleaner dataset and is expected to improve better accuracy.

show abstract

Applying a Recurrent Neural Network to Implement a Self-organizing Electronic Educational Course

Khakimzyanov,

Ali,

Kalmuratov

et al. 2024

Data Analytics in System Engineering

View full text Add to dashboard Cite

Backpropagation method modification using Taylor series to improve accuracy of offline neural network training

Cited by 3 publications

References 2 publications

Methodology for Control of Helicopters Aircraft Engines Technical State in Flight Modes Using Neural Networks

Methodology for Control of Helicopters Aircraft Engines Technical State in Flight Modes Using Neural Networks

Sentiment Analysis Using Backpropagation Method to Recognize the Public Opinion

Applying a Recurrent Neural Network to Implement a Self-organizing Electronic Educational Course

Contact Info

Product

Resources

About