Skin transfer function ankle render diagram. by Yuliang Yuan (4478698)

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Bone transfer function pelvis render diagram. by Yuliang Yuan (4478698)

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ANOVA tests for Benchmark functions. by Yu Liu (6938)

“…CEC2021 and 23 benchmark functions are used to test the effectiveness and feasibility of the CTCMKT. …”

The Wilcoxon results for Benchmark functions. by Yu Liu (6938)

“…CEC2021 and 23 benchmark functions are used to test the effectiveness and feasibility of the CTCMKT. …”

Convergence graphs of Benchmark functions. by Yu Liu (6938)

“…CEC2021 and 23 benchmark functions are used to test the effectiveness and feasibility of the CTCMKT. …”

Coarse-fine optimization algorithm. by Chao Ma (207385)

“…The improved gradient extraction method combines the Scale Invariant Feature Transformation (SIFT) algorithm to form a new multi-scale image sharpness evaluation function, SIFT Quad-Tenen. …”

The target gravitational function and the repulsion function are added. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

Algorithm for generation of fractals as Julia sets. by Khairul Habib Alam (20521419)

Algorithm for generation of fractals as Mandelbrot sets. by Khairul Habib Alam (20521419)

Acurracy comparison of CCA and FBCCA algorithms. by Hossein Hamidi Shishavan (19688384)

The GA iteration result. by Jiaqing Huang (5018492)

“…The objective is to improve the classification of bank-related risks by integrating the adaptability of fuzzy logic with the global optimization capability of genetic algorithms. The GA is used to fine-tune the structure, membership functions, and parameters of the FNN to improve predictive performance. …”

GA crossover and mutation process. by Jiaqing Huang (5018492)

“…The objective is to improve the classification of bank-related risks by integrating the adaptability of fuzzy logic with the global optimization capability of genetic algorithms. The GA is used to fine-tune the structure, membership functions, and parameters of the FNN to improve predictive performance. …”

The framework for the proposed model and GA-FNN. by Jiaqing Huang (5018492)

“…The objective is to improve the classification of bank-related risks by integrating the adaptability of fuzzy logic with the global optimization capability of genetic algorithms. The GA is used to fine-tune the structure, membership functions, and parameters of the FNN to improve predictive performance. …”

The structure for the FNN. by Jiaqing Huang (5018492)

“…The objective is to improve the classification of bank-related risks by integrating the adaptability of fuzzy logic with the global optimization capability of genetic algorithms. The GA is used to fine-tune the structure, membership functions, and parameters of the FNN to improve predictive performance. …”

Completion times for different algorithms. by Jianbin Zheng (587000)

“…The algorithm employs recurrent neural networks to capture and process historical information. …”

The average cumulative reward of algorithms. by Jianbin Zheng (587000)

“…The algorithm employs recurrent neural networks to capture and process historical information. …”

Heat maps of mean scores over 50 datasets of the algorithms as a function of relative noise and number of samples. by Yuanchen Zhao (12905580)

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If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

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Membership functions. by Tuan Anh Nguyen (121944)

CEC2017 test function test results. by Tengfei Ma (597633)

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