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Record Nr. |
UNINA9910616395703321 |
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Titolo |
Intelligent systems modeling and simulation II : machine learning, neural networks, efficient numerical algorithm and statistical methods / / edited by Samsul Ariffin Abdul Karim |
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Pubbl/distr/stampa |
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Cham, Switzerland : , : Springer, , [2022] |
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©2022 |
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ISBN |
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9783031040283 |
9783031040276 |
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Descrizione fisica |
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1 online resource (687 pages) |
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Collana |
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Studies in Systems, Decision and Control ; ; v.444 |
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Disciplina |
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Soggetti |
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Mathematical models |
Problem solving |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Intro -- Preface -- Contents -- Editor and Contributors -- Introduction -- 1 Introduction -- 2 Executive Summary -- 3 Conclusion -- References -- Physics-Constrained Deep Learning for Isothermal CSTR -- 1 Introduction -- 2 Physics-Constrained Deep Learning -- 3 Research Methodology -- 3.1 Data Preparation -- 3.2 Network Architecture Design -- 3.3 Model Training -- 3.4 Model Validation -- 4 Result and Discussion -- 5 Summary -- References -- Heat Transfer Modelling with Physics-Informed Neural Network (PINN) -- 1 Introduction -- 2 Literature Review -- 2.1 Physics-Informed Neural Network -- 2.2 Heat Equation -- 3 Methodology -- 4 Benefits and Economical Consideration -- 5 Data Collection and Analysis -- 6 Results and Discussion -- 7 Summary -- References -- An Overview on Deep Learning Techniques in Solving Partial Differential Equations -- 1 Introduction -- 2 Deep Neural Networks (DNNs) -- 3 Some Deep Learning Techniques for Solving PDEs -- 3.1 Physics-Informed Neural Networks -- 3.2 Blended Inverse-PDE Network (BiPDE-Net) -- 3.3 Int-Deep -- 4 Optimization Methods -- 4.1 ADAM Method -- 4.2 Adagrad -- 4.3 L-BFGS -- 5 Conclusion -- References -- Solving HornSAT Fuzzy Logic Neuro-symbolic Integration -- 1 Introduction -- 2 Neuro-logic in Hopfield Neural Network -- 2.1 Hopfield Neural Network -- 2.2 |
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