NSTL国家科技图书文献中心

1. Estimating the crashworthiness performances of crushboxes using artificial neural network NSTL国家科技图书文献中心

O. Koçar | Ö. Adanur ... - 《Materials Science & Engineering Technology》 - 2025,56(1) - 95～109 - 共15页

摘要： neural network. The input layer of the artificial | different initial speeds. In the artificial neural network | artificial neural network models. The training function was | artificial neural network model show that artificial neural | neural network model consists of three different

关键词： artificial neural network | crashworthiness | crushbox | energy absorption | thin-walled structures | Künstliche neuronale Netzwerke | Schockabsorbersystem | dünnwandige Strukturen | Crashsicherheit | Energieabsorption

2. Artificial neural network modelling for predicting tribological properties of Al8090/TiB2/C composites using optimized hyperparameters NSTL国家科技图书文献中心

Mohamed Zakaulla - 《Advances in Computational Design》 - 2025,10(1) - 35～50 - 共16页

摘要： artificial neural network (ANN), a total of 1920 input | utilizes artificial* neural networks (ANN) to analyze data* | ANN-based approach validate that the proposed model | This study introduces a new framework that | and forecast the tribological properties of Al8090

关键词： Aluminium | Artificial neural network | Hyperparameters | Graphene | Tribology

3. Application of Artificial Neural Network (ANN) in Ultrasound-Assisted Extraction of Bioactive Compounds NSTL国家科技图书文献中心

Sourav Chakraborty | Maitreye Das ... - 《Journal of food process engineering》 - 2025,48(1) - e70028.1～e70028.23 - 共23页

摘要：Artificial neural network (ANN) is regarded as | prescient conditions. Due to this, ANN* modeling gets* | the data or information, make ANN* the most popular* | and applications of ANNs* in process modeling and* | a promising tool among the recent trends of

关键词： artificial neural network | bioactive compounds | optimization | ultrasound-assisted extraction

4. Coupling physics in artificial neural network to predict the fatigue behavior of corroded steel wire NSTL国家科技图书文献中心

Fan Yi | Huan Lei ... - 《International Journal of Fatigue》 - 2025,190(Jan.) - 108669.1～108669.13 - 共13页

摘要： neural network (ANN) model and a probabilistic physics | -guided neural* network (PPgNN) model. Factors including* | corroded steel wire, the authors proposed an artificial | considered as input features of these two neural* networks* | . The ANN* model exhibited the best prediction accuracy*

关键词： Artificial neural network | Physics information | Fatigue life | Corroded steel wire

5. Modeling surface tension of ten binary cryogenic mixtures with a thermodynamic method and artificial neural network NSTL国家科技图书文献中心

Pierantozzi, Mariano | Rahmani, Zahra ... - 《Cryogenics》 - 2025,145 - 103997～ - 共12页

摘要：. Then an artificial* neural network has been applied to* | capability of the artificial* neural network model is proved* | The phase equilibrium calculations between the | liquid and surface phase are conducted to predict the | surface tension and interfacial mole fractions of the

关键词： Surface tension | Cryogenic | Thermodynamic model | Artificial neural network | Prediction

6. A reverse design method for cryocooler regenerator based on artificial neural network NSTL国家科技图书文献中心

Li, Shanshan | Chen, Xiantong ... - 《Cryogenics》 - 2025,148 - 104053～ - 共13页

摘要： artificial neural network (ANN) model as its core | adaptability and practical applicability. The optimized ANN | In conventional cryocooler regenerator design | , researchers typically employ specialized software to | traverse numerous parameter combinations to assess

关键词： Artificial neural network | Cryocooler | Regenerator | Reverse design

7. Using artificial neural network with clustering techniques to predict the suspended sediment load NSTL国家科技图书文献中心

Abdelghafour Dellal | Abdelouahab Lefkir ... - 《International journal of hydrology science and technology》 - 2025,19(2) - 170～186 - 共17页

摘要： resorted to using an artificial* neural network (ANN) to* | addressed the application of a multi-layer ANN* model. Feed* | ). The ANN* model with the k-mean clustering technique* | Rivers are natural water channels that are | influenced by a variety of factors, including erosion and

关键词： artificial neural network | ANN | clustering technique | flow discharge | suspended sediment

8. Artificial neural network modelling of aluminium/Al_2O_3/fly ash hybrid composites prepared by powder metallurgy NSTL国家科技图书文献中心

Seelam Pichi Reddy | Jagan Mohan Reddy Da...... - 《IJIDeM》 - 2025,19(1) - 143～151 - 共9页

摘要： time. The artificial* neural network (ANN) model is* | accuracy of the developed ANN* model. In addition flyash* | Industrial waste low density residue particles | and ceramic particles are used as reinforcement | materials in the aluminum matrix. The composites are

关键词： Aluminium | Alumina | Fly ash | Powder metallurgy | Artificial neural network

9. Using an Artificial Neural Network for Vibration Analysis of Multi-Layered Composite Beams Located on the Elastic Foundation NSTL国家科技图书文献中心

Yaqi,Yang | Zhihui,Jia - 《Journal of The institution of engineers (India),Series C》 - 2025,106(1) - 171～180 - 共10页

摘要： artificial neural network without solving the governing | artificial neural network of backpropagation type with a | present study, we employ artificial* neural networks to* | analytical solution results as inputs, a neural* network was* | Different engineering systems are governed by

关键词： Artificial neural network | Vibrations | Functionally graded microbeam | Natural frequency

10. Prediction of the evolution of the nuclear reactor core parameters using artificial neural network NSTL国家科技图书文献中心

Palmi K. | Kubinski W.... - 《Annals of nuclear energy》 - 2025,211(Feb.) - 1.1～1.10 - 共10页

摘要： Artificial Neural Network (ANN) to predict the behavior of | validation data. The ANN* was implemented using Python 3.8* | later used in the process of the ANN* development* | . Various ANN* architectures were studied to obtain better* | © 2024 The Author(s)The main aim of the

摘要： neural network. The input layer of the artificial | different initial speeds. In the artificial neural network | artificial neural network models. The training function was | artificial neural network model show that artificial neural | neural network model consists of three different

关键词： artificial neural network | crashworthiness | crushbox | energy absorption | thin-walled structures | Künstliche neuronale Netzwerke | Schockabsorbersystem | dünnwandige Strukturen | Crashsicherheit | Energieabsorption

摘要： artificial neural network (ANN), a total of 1920 input | utilizes artificial* neural networks (ANN) to analyze data* | ANN-based approach validate that the proposed model | This study introduces a new framework that | and forecast the tribological properties of Al8090

关键词： Aluminium | Artificial neural network | Hyperparameters | Graphene | Tribology

摘要：Artificial neural network (ANN) is regarded as | prescient conditions. Due to this, ANN* modeling gets* | the data or information, make ANN* the most popular* | and applications of ANNs* in process modeling and* | a promising tool among the recent trends of

关键词： artificial neural network | bioactive compounds | optimization | ultrasound-assisted extraction

关键词： Artificial neural network | Physics information | Fatigue life | Corroded steel wire

摘要：. Then an artificial* neural network has been applied to* | capability of the artificial* neural network model is proved* | The phase equilibrium calculations between the | liquid and surface phase are conducted to predict the | surface tension and interfacial mole fractions of the

关键词： Surface tension | Cryogenic | Thermodynamic model | Artificial neural network | Prediction

摘要： artificial neural network (ANN) model as its core | adaptability and practical applicability. The optimized ANN | In conventional cryocooler regenerator design | , researchers typically employ specialized software to | traverse numerous parameter combinations to assess

关键词： Artificial neural network | Cryocooler | Regenerator | Reverse design

摘要： resorted to using an artificial* neural network (ANN) to* | addressed the application of a multi-layer ANN* model. Feed* | ). The ANN* model with the k-mean clustering technique* | Rivers are natural water channels that are | influenced by a variety of factors, including erosion and

关键词： artificial neural network | ANN | clustering technique | flow discharge | suspended sediment

摘要： time. The artificial* neural network (ANN) model is* | accuracy of the developed ANN* model. In addition flyash* | Industrial waste low density residue particles | and ceramic particles are used as reinforcement | materials in the aluminum matrix. The composites are

关键词： Aluminium | Alumina | Fly ash | Powder metallurgy | Artificial neural network

摘要： artificial neural network without solving the governing | artificial neural network of backpropagation type with a | present study, we employ artificial* neural networks to* | analytical solution results as inputs, a neural* network was* | Different engineering systems are governed by

关键词： Artificial neural network | Vibrations | Functionally graded microbeam | Natural frequency

摘要： Artificial Neural Network (ANN) to predict the behavior of | validation data. The ANN* was implemented using Python 3.8* | later used in the process of the ANN* development* | . Various ANN* architectures were studied to obtain better* | © 2024 The Author(s)The main aim of the

关键词： Artificial neural network | BEAVRS benchmark | PARCS | PWR | TensorFlow

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： neural network. The input layer of the artificial | different initial speeds. In the artificial neural network | artificial neural network models. The training function was | artificial neural network model show that artificial neural | neural network model consists of three different

关键词： artificial neural network | crashworthiness | crushbox | energy absorption | thin-walled structures | Künstliche neuronale Netzwerke | Schockabsorbersystem | dünnwandige Strukturen | Crashsicherheit | Energieabsorption

摘要： artificial neural network (ANN), a total of 1920 input | utilizes artificial neural networks (ANN) to analyze data | ANN-based approach validate that the proposed model | This study introduces a new framework that | and forecast the tribological properties of Al8090

关键词： Aluminium | Artificial neural network | Hyperparameters | Graphene | Tribology

摘要：Artificial neural network (ANN) is regarded as | prescient conditions. Due to this, ANN modeling gets | the data or information, make ANN the most popular | and applications of ANNs in process modeling and | a promising tool among the recent trends of

关键词： artificial neural network | bioactive compounds | optimization | ultrasound-assisted extraction

摘要： neural network (ANN) model and a probabilistic physics | -guided neural network (PPgNN) model. Factors including | corroded steel wire, the authors proposed an artificial | considered as input features of these two neural networks | . The ANN model exhibited the best prediction accuracy

关键词： Artificial neural network | Physics information | Fatigue life | Corroded steel wire

摘要：. Then an artificial neural network has been applied to | capability of the artificial neural network model is proved | The phase equilibrium calculations between the | liquid and surface phase are conducted to predict the | surface tension and interfacial mole fractions of the

关键词： Surface tension | Cryogenic | Thermodynamic model | Artificial neural network | Prediction

摘要： artificial neural network (ANN) model as its core | adaptability and practical applicability. The optimized ANN | In conventional cryocooler regenerator design | , researchers typically employ specialized software to | traverse numerous parameter combinations to assess

关键词： Artificial neural network | Cryocooler | Regenerator | Reverse design

摘要： resorted to using an artificial neural network (ANN) to | addressed the application of a multi-layer ANN model. Feed | ). The ANN model with the k-mean clustering technique | Rivers are natural water channels that are | influenced by a variety of factors, including erosion and

关键词： artificial neural network | ANN | clustering technique | flow discharge | suspended sediment

摘要： time. The artificial neural network (ANN) model is | accuracy of the developed ANN model. In addition flyash | Industrial waste low density residue particles | and ceramic particles are used as reinforcement | materials in the aluminum matrix. The composites are

关键词： Aluminium | Alumina | Fly ash | Powder metallurgy | Artificial neural network

摘要： artificial neural network without solving the governing | artificial neural network of backpropagation type with a | present study, we employ artificial neural networks to | analytical solution results as inputs, a neural network was | Different engineering systems are governed by

关键词： Artificial neural network | Vibrations | Functionally graded microbeam | Natural frequency

摘要： Artificial Neural Network (ANN) to predict the behavior of | validation data. The ANN was implemented using Python 3.8 | later used in the process of the ANN development | . Various ANN architectures were studied to obtain better | © 2024 The Author(s)The main aim of the

关键词： Artificial neural network | BEAVRS benchmark | PARCS | PWR | TensorFlow

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： artificial neural network (ANN), a total of 1920 input | utilizes artificial* neural networks (ANN) to analyze data* | ANN-based approach validate that the proposed model | This study introduces a new framework that | and forecast the tribological properties of Al8090

摘要：Artificial neural network (ANN) is regarded as | prescient conditions. Due to this, ANN* modeling gets* | the data or information, make ANN* the most popular* | and applications of ANNs* in process modeling and* | a promising tool among the recent trends of

摘要：. Then an artificial* neural network has been applied to* | capability of the artificial* neural network model is proved* | The phase equilibrium calculations between the | liquid and surface phase are conducted to predict the | surface tension and interfacial mole fractions of the

摘要： resorted to using an artificial* neural network (ANN) to* | addressed the application of a multi-layer ANN* model. Feed* | ). The ANN* model with the k-mean clustering technique* | Rivers are natural water channels that are | influenced by a variety of factors, including erosion and

摘要： time. The artificial* neural network (ANN) model is* | accuracy of the developed ANN* model. In addition flyash* | Industrial waste low density residue particles | and ceramic particles are used as reinforcement | materials in the aluminum matrix. The composites are

摘要： artificial neural network without solving the governing | artificial neural network of backpropagation type with a | present study, we employ artificial* neural networks to* | analytical solution results as inputs, a neural* network was* | Different engineering systems are governed by

摘要： Artificial Neural Network (ANN) to predict the behavior of | validation data. The ANN* was implemented using Python 3.8* | later used in the process of the ANN* development* | . Various ANN* architectures were studied to obtain better* | © 2024 The Author(s)The main aim of the