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

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

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

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

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

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Genetic algorithm flowchart. حسب 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. حسب 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. حسب Kai Liu (159026)

Genetic algorithm iteration data chart. حسب 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. حسب 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. حسب Xiying Wang (4859998)

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Structure of BPNN. حسب Xiying Wang (4859998)

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

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

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S1 Data - حسب Xiying Wang (4859998)

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

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

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Optimal solution decoding layout. حسب 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. حسب 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. …"