The Neural Networks Performance Improvement Using Pink Noise Augmentation
Keywords:Pink Noise, Neural Networks, Data Augmentation Techniques
Data augmentation techniques artificially generate different versions of a real dataset to increase its size. Many practices have shown an increase in the accuracy of machine learning models after applying them. When training a machine learning model, it functions as a regularizer and helps to reduce overfitting. This work will discuss the improved neural network performance with the pink noise data augmentation in order to model system drifts.
Tariq, Osama Bin and Lazarescu, Mihai Teodor and Lavagno, Luciano(2021). Neural networks for indoor person tracking with infrared sensors
How to Cite
Abdurashitova, M. (2022). The Neural Networks Performance Improvement Using Pink Noise Augmentation. Acta of Turin Polytechnic University in Tashkent, 12(2). Retrieved from https://acta.polito.uz/index.php/journal/article/view/139
Technical Science and Engineering