Improved Reliability Prediction in Engineering Systems Based on Artificial Neural Network
Mummaneni Sobhana, Gajula Siva Sai Preethi, Guttikonda Harsha Sri, Kancharla Bhanu Sujitha · 2022 International Mobile and Embedded Technology Conference (MECON) · 2022
Customers have high expectations for the reliability of products they use. It is important for the companies to meet those expectations. Reliability performs a very crucial role for getting quality software and hardware. For this software failure dataset is taken. Focusing at this point an artificial neural network model is proposed. Reliability prediction is done using Artificial neural network model. The model is optimized using Adam optimizer. The obtained results show that ANN model provides best accuracy in reliability prediction. The ANN model is used for reliability prediction in engineering.