Fitness curves for each algorithm. حسب Minan Tang (20389941)

Whole Pattern fitting of powder X-ray diffraction by Expectation Maximum algorithm حسب Bin CAO (17718678)

Fitness curves of the 6 test functions. حسب Peiwen Zhang (1863202)

Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. حسب Lalit Pandey (13195488)

Training set fitting of the ISSA-BP model. حسب Peiwen Zhang (1863202)

Data fitting and inferences of time-dependent parameters for BC using the VOCs-INN algorithm. حسب Wenxuan Li (2566450)

RF Algorithm error rate of the model. حسب Halit Tutar (20678455)

"…For this purpose, Artificial Neural Networks (ANN), Automatic Linear Model (ALM), Random Forest (RF) Algorithm and Multivariate Adaptive Regression Spline (MARS) Algorithm were used, and the prediction performances of these methods were compared. …"

Model surface plots in MARS algorithm. حسب Halit Tutar (20678455)

"…For this purpose, Artificial Neural Networks (ANN), Automatic Linear Model (ALM), Random Forest (RF) Algorithm and Multivariate Adaptive Regression Spline (MARS) Algorithm were used, and the prediction performances of these methods were compared. …"

Characteristic chart of algorithm efficiency. حسب Wang Xiaoqian (10502222)

The parameter setting of the evolutionary neural network. حسب Wenbing Shi (5806160)

الموضوعات:

Improved BP network algorithm flow. حسب Wang Xiaoqian (10502222)

Monotone Cubic B-Splines with a Neural-Network Generator حسب Lijun Wang (176511)

The GTO algorithm process. حسب Yulin Li (36434)

الموضوعات:

Data fitting and time-dependent parameters inferences for five regions within BC using the VOCs-INN algorithm. حسب Wenxuan Li (2566450)

The fitness of ANEAT model evolution. حسب Wenbing Shi (5806160)

الموضوعات:

The fitness of NANEAT model evolution. حسب Wenbing Shi (5806160)

الموضوعات:

Architecture of deep convolutional neural network. حسب Ali Raza (3558965)

الموضوعات:

Structure of the artificial neural network. حسب Halit Tutar (20678455)

"…For this purpose, Artificial Neural Networks (ANN), Automatic Linear Model (ALM), Random Forest (RF) Algorithm and Multivariate Adaptive Regression Spline (MARS) Algorithm were used, and the prediction performances of these methods were compared. …"

Outcomes of the MARS algorithm in predicting the fresh herbage yield (FHY) of the SSG hybrid. حسب Halit Tutar (20678455)

The change of fitness value with interference noise. حسب Hui Zhao (7395)