Applied artificial neural network methods for engineers and scientists: solving algebraic equations
"The aim of this book is to handle different application problems of science and engineering using expert Artificial Neural Network (ANN). As such, the book starts with basics of ANN along with different mathematical preliminaries with respect to algebraic equations. Then it addresses ANN based...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New Jersey ; London ; Singapore
World Scientific
[2021]
|
| Schlagworte: | |
| Online-Zugang: | TUM01 Volltext |
| Zusammenfassung: | "The aim of this book is to handle different application problems of science and engineering using expert Artificial Neural Network (ANN). As such, the book starts with basics of ANN along with different mathematical preliminaries with respect to algebraic equations. Then it addresses ANN based methods for solving different algebraic equations viz. polynomial equations, diophantine equations, transcendental equations, system of linear and nonlinear equations, eigenvalue problems etc. which are the basic equations to handle the application problems mentioned in the content of the book. Although there exist various methods to handle these problems, but sometimes those may be problem dependent and may fail to give a converge solution with particular discretization. Accordingly, ANN based methods have been addressed here to solve these problems. Detail ANN architecture with step by step procedure and algorithm have been included. Different example problems are solved with respect to various application and mathematical problems. Convergence plots and/or convergence tables of the solutions are depicted to show the efficacy of these methods. It is worth mentioning that various application problems viz. Bakery problem, Power electronics applications, Pole placement, Electrical Network Analysis, Structural engineering problem etc. have been solved using the ANN based methods"--Publisher's website |
| Beschreibung: | 1 Online-Ressource (x, 179 Seiten) Illustrationen |
| ISBN: | 9789811230219 9789811230226 |
| DOI: | 10.1142/12097 |
Internformat
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| 245 | 1 | 0 | |a Applied artificial neural network methods for engineers and scientists |b solving algebraic equations |c Snehashish Chakraverty, Sumit Kumar Jeswal |
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| 520 | |a "The aim of this book is to handle different application problems of science and engineering using expert Artificial Neural Network (ANN). As such, the book starts with basics of ANN along with different mathematical preliminaries with respect to algebraic equations. Then it addresses ANN based methods for solving different algebraic equations viz. polynomial equations, diophantine equations, transcendental equations, system of linear and nonlinear equations, eigenvalue problems etc. which are the basic equations to handle the application problems mentioned in the content of the book. Although there exist various methods to handle these problems, but sometimes those may be problem dependent and may fail to give a converge solution with particular discretization. Accordingly, ANN based methods have been addressed here to solve these problems. Detail ANN architecture with step by step procedure and algorithm have been included. Different example problems are solved with respect to various application and mathematical problems. Convergence plots and/or convergence tables of the solutions are depicted to show the efficacy of these methods. It is worth mentioning that various application problems viz. Bakery problem, Power electronics applications, Pole placement, Electrical Network Analysis, Structural engineering problem etc. have been solved using the ANN based methods"--Publisher's website | ||
| 650 | 4 | |a Neural networks (Computer science) | |
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Datensatz im Suchindex
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| author | Chakraverty, Snehashish 1963- Jeswal, Sumit Kumar |
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| bvnumber | BV047240547 |
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| collection | ZDB-124-WOP |
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| dewey-full | 006.32 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.32 |
| dewey-search | 006.32 |
| dewey-sort | 16.32 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1142/12097 |
| format | Electronic eBook |
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| id | DE-604.BV047240547 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T17:04:05Z |
| indexdate | 2024-07-10T09:06:35Z |
| institution | BVB |
| isbn | 9789811230219 9789811230226 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032644834 |
| oclc_num | 1249682272 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (x, 179 Seiten) Illustrationen |
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| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | World Scientific |
| record_format | marc |
| spelling | Chakraverty, Snehashish 1963- Verfasser (DE-588)120961071X aut Applied artificial neural network methods for engineers and scientists solving algebraic equations Snehashish Chakraverty, Sumit Kumar Jeswal New Jersey ; London ; Singapore World Scientific [2021] 1 Online-Ressource (x, 179 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier "The aim of this book is to handle different application problems of science and engineering using expert Artificial Neural Network (ANN). As such, the book starts with basics of ANN along with different mathematical preliminaries with respect to algebraic equations. Then it addresses ANN based methods for solving different algebraic equations viz. polynomial equations, diophantine equations, transcendental equations, system of linear and nonlinear equations, eigenvalue problems etc. which are the basic equations to handle the application problems mentioned in the content of the book. Although there exist various methods to handle these problems, but sometimes those may be problem dependent and may fail to give a converge solution with particular discretization. Accordingly, ANN based methods have been addressed here to solve these problems. Detail ANN architecture with step by step procedure and algorithm have been included. Different example problems are solved with respect to various application and mathematical problems. Convergence plots and/or convergence tables of the solutions are depicted to show the efficacy of these methods. It is worth mentioning that various application problems viz. Bakery problem, Power electronics applications, Pole placement, Electrical Network Analysis, Structural engineering problem etc. have been solved using the ANN based methods"--Publisher's website Neural networks (Computer science) Artificial intelligence Equations, Theory of Electronic books Jeswal, Sumit Kumar aut Erscheint auch als Druck-Ausgabe 9789811230202 Erscheint auch als Druck-Ausgabe 9780000989970 https://doi.org/10.1142/12097 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Chakraverty, Snehashish 1963- Jeswal, Sumit Kumar Applied artificial neural network methods for engineers and scientists solving algebraic equations Neural networks (Computer science) Artificial intelligence Equations, Theory of |
| title | Applied artificial neural network methods for engineers and scientists solving algebraic equations |
| title_auth | Applied artificial neural network methods for engineers and scientists solving algebraic equations |
| title_exact_search | Applied artificial neural network methods for engineers and scientists solving algebraic equations |
| title_exact_search_txtP | Applied artificial neural network methods for engineers and scientists solving algebraic equations |
| title_full | Applied artificial neural network methods for engineers and scientists solving algebraic equations Snehashish Chakraverty, Sumit Kumar Jeswal |
| title_fullStr | Applied artificial neural network methods for engineers and scientists solving algebraic equations Snehashish Chakraverty, Sumit Kumar Jeswal |
| title_full_unstemmed | Applied artificial neural network methods for engineers and scientists solving algebraic equations Snehashish Chakraverty, Sumit Kumar Jeswal |
| title_short | Applied artificial neural network methods for engineers and scientists |
| title_sort | applied artificial neural network methods for engineers and scientists solving algebraic equations |
| title_sub | solving algebraic equations |
| topic | Neural networks (Computer science) Artificial intelligence Equations, Theory of |
| topic_facet | Neural networks (Computer science) Artificial intelligence Equations, Theory of |
| url | https://doi.org/10.1142/12097 |
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