RE for partial flow prediction results of single and dual water level models based on the GA-BP algorithm. by Xiying Wang (4859998)

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Partial comparison of flow prediction results between single and dual water level models with the GA-BP algorithm. by Xiying Wang (4859998)

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Algorithm flow of the GA-BPNN model. by Xiying Wang (4859998)

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Prediction performance of the EGA-BPNN model with different numbers of hidden layer nodes. by Xiying Wang (4859998)

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Partial RE for flow prediction models of single and dual water levels under the BPNN. by Xiying Wang (4859998)

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Partial comparison of flow prediction results between single and dual water level models under the BPNN. by Xiying Wang (4859998)

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Genetic algorithm flowchart. by Wenguang Li (6528113)

“…Combined with the better-performing LightGBM model and random forest model, a two-layer Stacking model was constructed. This model not only outperforms single machine learning models in predictive effect but also provides a new idea and method in the field of model integration. (3) Shapley value analysis identified features that have a significant impact on the prediction of diabetes, such as age and body mass index. …”

The Search process of the genetic algorithm. by Wenguang Li (6528113)

“…Combined with the better-performing LightGBM model and random forest model, a two-layer Stacking model was constructed. This model not only outperforms single machine learning models in predictive effect but also provides a new idea and method in the field of model integration. (3) Shapley value analysis identified features that have a significant impact on the prediction of diabetes, such as age and body mass index. …”

Active force of 10 pN for various initial cell separation distances demonstrates an optimal initial distance. by Kai Liu (159026)

Genetic algorithm iteration data chart. by Wenguang Li (6528113)

“…Combined with the better-performing LightGBM model and random forest model, a two-layer Stacking model was constructed. This model not only outperforms single machine learning models in predictive effect but also provides a new idea and method in the field of model integration. (3) Shapley value analysis identified features that have a significant impact on the prediction of diabetes, such as age and body mass index. …”

NSGA Ⅲ algorithm. by Yanlin Zhao (251552)

“…<div><p>This paper investigates the layout optimization of multi-layer circular manufacturing cells (MCMC), a topic that has garnered limited attention compared to single-layer circular manufacturing cells (SCMC). …”

Example of sample data. by Xiying Wang (4859998)

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Structure of BPNN. by Xiying Wang (4859998)

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The parameters set in the experiment under two models. by Xiying Wang (4859998)

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The workflow of EGA-BPNN. by Xiying Wang (4859998)

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S1 Data - by Xiying Wang (4859998)

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Comparison of prediction results between two models under different environments and crops. by Xiying Wang (4859998)

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Comparison of prediction results between BPNN and EGA-BP models. by Xiying Wang (4859998)

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Optimal solution decoding layout. by Yanlin Zhao (251552)

“…<div><p>This paper investigates the layout optimization of multi-layer circular manufacturing cells (MCMC), a topic that has garnered limited attention compared to single-layer circular manufacturing cells (SCMC). …”

Technical approach. by Wenguang Li (6528113)

“…Combined with the better-performing LightGBM model and random forest model, a two-layer Stacking model was constructed. This model not only outperforms single machine learning models in predictive effect but also provides a new idea and method in the field of model integration. (3) Shapley value analysis identified features that have a significant impact on the prediction of diabetes, such as age and body mass index. …”