Activation functions: Sigmoid function and ReLU function. حسب Wan-Hua Zhang (21601139)

Image of the ReLU function. حسب Mengqi Yuan (4852555)

TanH, ReLU, Leaky ReLU, and ELU activation functions. حسب Javier León (162217)

ReLU fitness function line graph. حسب XiuZhi Qi (18555018)

Comparison curve of ReLU and SiLU activation functions. حسب Junjie Lu (160350)

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Comparison of ReLU and ELU activation functions. حسب Peixin Niu (12330204)

"…Moreover, the utilization of an exponential linear unit (ELU) activation function enhances the capture of comprehensive negative feature information. …"

Comparison of the detection results for different classification and detection algorithms. حسب Zongchen Li (12476737)

The loss curves of different classification and detection algorithms varying with the iteration number. حسب Zongchen Li (12476737)

The precision curves of different classification and detection algorithms varying with the iteration number. حسب Zongchen Li (12476737)

Loss function value changes in CNN training changes with epochs for both training dataset and testing dataset. حسب Jiaxi Wang (545353)

The image of the Aekley function. حسب Zhengyu Xu (8550660)

The ALO algorithm optimization flowchart. حسب Wenjing Wang (181404)

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The IALO algorithm solution flowchart. حسب Wenjing Wang (181404)

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Continuous Probability Distributions generated by the PIPE Algorithm حسب LUIS G.B. PINHO (14073372)

"…<div><p>Abstract We investigate the use of the Probabilistic Incremental Programming Evolution (PIPE) algorithm as a tool to construct continuous cumulative distribution functions to model given data sets. …"

Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional حسب Ryan Stocks (16867476)

"…Kohn–Sham density functional theory (KS-DFT) has become a cornerstone for studying the electronic structure of molecules and materials. …"

Supervised Predictive Modeling of High-dimensional Data with Group l0-norm Constrained Neural Networks حسب Zhihuang Yang (22530437)

"…Convergence guarantees and sparsity recovery capabilities of these algorithms are rigorously examined. Empirical validation through a series of comprehensive experiments conducted on both real-world and synthetic datasets underscores the superior performance of our proposed estimator. …"

The pseudocode for the NAFPSO algorithm. حسب Huichao Guo (14515171)

"…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"

PSO algorithm flowchart. حسب Huichao Guo (14515171)

"…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"

Prediction performance of different optimization algorithms. حسب Ali-Kemal Aydin (10968731)

"…<p>(A) 3 algorithms were compared in terms of the residuals of the cost function of the optimized TF on 7 mice datasets (Derivative free algorithm failed in optimizing a TF in a mouse). …"

Standard functions to test. حسب Kemal Gökhan Nalbant (18858009)