Test set prediction results of four algorithms. by Yu Jie Guang (22184340)

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Improve algorithm settings. by Hui Zhao (7395)

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Neural network error metrics for training and testing data sets. The neural network performs similarly between training and testing trial sets and performs slightly better for trai... by Xiaowen Chen (192197)

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The structure of genetic algorithm (GA). by Ali Akbar Moosavi (17769033)

“…Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …”

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

DARTS algorithm process. by Yuxuan Ji (13991895)

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3 fold cross validation model for the ANN training and testing data. by Junaid Khan (4276162)

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Diebold-Mariano tests results of model prediction performance. by Peiwen Zhang (1863202)

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Classification accuracy for each model test set. by Minan Tang (20389941)

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Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Flow diagram of cuckoo search algorithm. by Muhammad Sadiq (9449915)

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Choices on individual test tasks were not explained by model-free perseveration. by Sam Hall-McMaster (10343795)

“…<p>A model-free algorithm learns the optimal policies on training tasks but has no way to evaluate their success on test tasks. …”

Performance evaluation index results on each model test set. by Peiwen Zhang (1863202)

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Performance metrics of the Deep Neural Network (DNN) model on training data. by Saim Chishti (22272188)

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Performance metrics of the Recurrent Neural Network (RNN) model on training data. by Saim Chishti (22272188)

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Flowchart of GA-PSO-BP neural network model. by Jining Wang (3369305)

“…To address this issue, the research employs a genetic-particle swarm optimization (GA-PSO) algorithm and develops a GA-PSO-BP neural network model through the integration of the BP neural network. …”

Friedman-Nemenyi test for model comparison. by Muhammed Kotan (21354054)

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Parallel HSMM algorithm structure. by Andrew McDonald (2307400)

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Confusion matrix heatmap for the Deep Neural Network (DNN) model on training data. by Saim Chishti (22272188)

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Confusion matrix heatmap for the Recurrent Neural Network (RNN) model on training data. by Saim Chishti (22272188)

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