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

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Rosenbrock function losses for . حسب Shikun Chen (14625352)

Rosenbrock function losses for . حسب Shikun Chen (14625352)

Levy function losses for . حسب Shikun Chen (14625352)

Rastrigin function losses for . حسب Shikun Chen (14625352)

Levy function losses for . حسب Shikun Chen (14625352)

Rastrigin function losses for . حسب Shikun Chen (14625352)

Levy function losses for . حسب Shikun Chen (14625352)

Levy function losses for . حسب Shikun Chen (14625352)

Rastrigin function losses for . حسب Shikun Chen (14625352)

Rastrigin function losses for . حسب Shikun Chen (14625352)

Rosenbrock function losses for . حسب Shikun Chen (14625352)

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

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Algorithm flow of BBO. حسب Jian Yang (12136)

Schematics for gmxapi operations. حسب M. Eric Irrgang (4487278)

gmxapi usage examples. حسب M. Eric Irrgang (4487278)

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

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Loss function variation curve. حسب Chunhua Yang (346871)

الموضوعات:

Flow chart of fusion perception. حسب Weilin Wu (13736)

الموضوعات:

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). …"