Items where Author is "Yilmaz, Ahmet"

Poli, Riccardo and Yilmaz, Ahmet (2023) Incorrect Application of Yilmaz–Poli (2022) Initialisation Method in dePater–Mitici 2023 paper entitled “A mathematical framework for improved weight initialization of neural networks using Lagrange multipliers”. Neural Networks, 168. pp. 57-58. DOI https://doi.org/10.1016/j.neunet.2023.09.017

Yilmaz, Ahmet and Poli, Riccardo (2022) Successfully and Efficiently Training Deep Multi-layer Perceptrons with Logistic Activation Function Simply Requires Initializing the Weights with an Appropriate Negative Mean. Neural Networks, 153. pp. 87-103. DOI https://doi.org/10.1016/j.neunet.2022.05.030

Yilmaz, Ahmet (2021) Uncovering Efficient Learning and Initialisation Algorithms for Neural Networks Using Evolutionary Algorithms and Theoretical Analyses. PhD thesis, University of Essex.