Changes in loss values for different algorithms. by Xiaojun Wang (50332)

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Comparison results of the loss functions. by Jia Li (160557)

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Loss function variation curve. by Chunhua Yang (346871)

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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

“…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …”

APSO–WOA–CNN and APSO–CNN algorithms’ loss function validation sets. by Ahmed Bahaa (12887063)

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APSO–WOA–CNN and APSO–CNN algorithms’ loss function training sets. by Ahmed Bahaa (12887063)

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<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

“…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…”

The losses of the training process before and after the optimization of loss function. by Peihan Wen (6324315)

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Loss function curves. by Saad Hammood Mohammed (20623506)

Recursive attention function and loss function change. by Wang Linfeng (17102068)

Loss Function Comparison. by Hongwei Yue (574068)

Loss Function Comparison. by Hongwei Yue (574068)

Equivalence of loss functions and effects of regularization. by Jonathan Vacher (17041542)

Graph of convergence of PSO algorithm fitness function. by Mohammed F. Elnaggar (18297954)

Loss function curve. by Xiangqian Xu (17310895)

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The resultant loss curves while using the hinge loss function for the best model. by Abdullah Almansour (6273935)

BEs with different loss functions. by Qin Gong (118801)

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An Adapted Loss Function for Censored Quantile Regression by Mickaël De Backer (5166839)

“…For practical minimization of the studied loss function, we also provide a simple algorithmic procedure shown to yield satisfactory results for the proposed estimator with respect to the existing literature in an extensive simulation study. …”

Acc epoch loss curve of IPCA algorithm. by Lu Lin (201289)

Loss function as a function of a number of iterations. by Kiyoshiro Okada (10711332)