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

الموضوعات:

Loss function variation curve. حسب Chunhua Yang (346871)

الموضوعات:

2-D versions of six benchmark functions. حسب Hao Zhang (15339)

Fitness function over the 50 runs. حسب Mohammed Alqahtani (2049139)

"…Across multiple simulations, ZOA displayed superior stability and convergence characteristics, evidenced by its tight objective function range and lower relative error metrics. …"

Fitness function over the 50 runs. حسب Mohammed Alqahtani (2049139)

"…Across multiple simulations, ZOA displayed superior stability and convergence characteristics, evidenced by its tight objective function range and lower relative error metrics. …"

Fitness function over the 50 runs. حسب Mohammed Alqahtani (2049139)

"…Across multiple simulations, ZOA displayed superior stability and convergence characteristics, evidenced by its tight objective function range and lower relative error metrics. …"

Loss curve. حسب Jiexiang Yang (19980594)

الموضوعات:

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

الموضوعات:

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

الموضوعات:

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

الموضوعات:

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

Comparison of the curves of the DCIOU loss function and the CIOU loss function. حسب Xunqian Xu (21261899)

الموضوعات:

Comparative Analysis (Security Functionalities). حسب Naif Alzahrani (19992885)

Loss Function Comparison. حسب Hongwei Yue (574068)

Loss Function Comparison. حسب Hongwei Yue (574068)

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب 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). …"

Algorithm framework of this paper. حسب Xiaoqin Wu (470428)

"…The standard convolution blocks of the coding path and decoding path on the original network are improved to dense blocks, which enhances the transmission of features. The mixed loss function composed of the Binary Cross Entropy Loss function and the Tversky coefficient is used to replace the original single cross-entropy loss, which restrains the influence of irrelevant features on segmentation accuracy. …"

Loss function curve. حسب Xiangqian Xu (17310895)

الموضوعات:

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

الموضوعات:

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

الموضوعات: