Mathematics in Computational Science and Engineering. Группа авторов

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Название Mathematics in Computational Science and Engineering
Автор произведения Группа авторов
Жанр Математика
Серия
Издательство Математика
Год выпуска 0
isbn 9781119777533



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href="#ulink_e0669cfc-107e-58c5-be70-b83069ff46f9">9.2 Definitions and Preliminaries 9.3 Main Results References

      15  10 Role of Mathematics in Novel Artificial Intelligence Realm 10.1 Introduction 10.2 Mathematical Concepts Applied in Artificial Intelligence 10.3 Work Flow of Artificial Intelligence & Application Areas 10.4 Conclusion References

      16  11 Study of Corona Epidemic: Predictive Mathematical Model 11.1 Mathematical Modelling 11.2 Need of Mathematical Modelling 11.3 Methods of Construction of Mathematical Models 11.4 Comparative Study of Mathematical Model in the Time of Covid-19 – A Review 11.5 Corona Epidemic in the Context of West Bengal: Predictive Mathematical Model References

      17  12 Application of Mathematical Modeling in Various Fields in Light of Fuzzy Logic 12.1 Introduction 12.2 Fuzzy Logic 12.3 Literature Review 12.4 Applications of Fuzzy Logic 12.5 Conclusion References

      18  13 A Mathematical Approach Using Set & Sequence Similarity Measure for Item Recommendation Using Sequential Web Data 13.1 Introduction 13.2 Measures of Assessment for Recommendation Engines 13.3 Related Work 13.4 Methodology/Research Design 13.5 Finding or Result 13.6 Conclusion and Future Work References

      19  14 Neural Network and Genetic Programming Based Explicit Formulations for Shear Capacity Estimation of Adhesive Anchors 14.1 General Introduction 14.2 Research Significance 14.3 Biological Nervous System 14.4 Constructing Artificial Neural Network Model 14.5 Genetic Programming (GP) 14.6 Administering Genetic Programming Scheme 14.7 Genetic Programming In Details 14.8 Genetic Expression Programming 14.9 Developing Model With Genexpo Software 14.10 Comparing NN and GEP Results 14.11 Conclusions References

      20  15 Adaptive Heuristic - Genetic Algorithms 15.1 Introduction 15.2 Genetic Algorithm 15.3 The Genetic Algorithm 15.4 Evaluation Module 15.5 Populace Module 15.6 Reproduction Module 15.7 Example 15.8 Schema Theorem 15.9 Conclusion 15.10 Future Scope References

      21  16 Mathematically Enhanced Corrosion Detection 16.1 Introduction 16.2 Case Study: PCA Applied to PMI Data for Defect Detection 16.3 PCA Feature Extraction for PMI Method 16.4 Experimental Setup and Test 16.5 Results 16.6 Conclusions References

      22  17 Dynamics of Malaria Parasite with Effective Control Analysis 17.1 Introduction 17.2 The Mathematical Structure of EGPLC 17.3 The Modified EGPLC Model 17.4 Equilibria and Local Stability Analysis 17.5 Analysis of Global Stability 17.6 Global Stability Analysis with Back Propagation 17.7 Stability Analysis of Non-Deterministic