In the latest years, the use of computational techniques for solving different problems is rising. In this context, engineers are faced with the difficult choice of selecting and applying the best methods suited for modelling and optimization purposes. On the other hand, there are cases when the conventional approaches are not feasible and alternative methods must be developed. This book is aimed to help engineers in the application and implementation of neural networks and bio-inspired algorithms for solving day-to-day engineering problems and specific process optimization. New techniques based on artificial neural networks, differential evolution algorithm, and artificial immune systems are presented. They have proven to be flexible and efficient, having as main advantages the generalization capability and the opportunity of providing useful information for experimental practice.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Elena-Niculina Drăgoi (Bachelor Degree in Computer Science, PhD in Chemical Engineering), Silvia Curteanu (Professor of Applied Informatics and PhD supervisor in Chemical Engineering), Vlad Dafinescu (Bioengineer, PhD in Electrical Engineering) have artificial intelligence and its applications in engineering as main research interests.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the latest years, the use of computational techniques for solving different problems is rising. In this context, engineers are faced with the difficult choice of selecting and applying the best methods suited for modelling and optimization purposes. On the other hand, there are cases when the conventional approaches are not feasible and alternative methods must be developed. This book is aimed to help engineers in the application and implementation of neural networks and bio-inspired algorithms for solving day-to-day engineering problems and specific process optimization. New techniques based on artificial neural networks, differential evolution algorithm, and artificial immune systems are presented. They have proven to be flexible and efficient, having as main advantages the generalization capability and the opportunity of providing useful information for experimental practice. 340 pp. Englisch. Codice articolo 9783659409257
Quantità: 2 disponibili
Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dragoi Elena-NiculinaElena-Niculina Dragoi (Bachelor Degree in Computer Science, PhD in Chemical Engineering), Silvia Curteanu (Professor of Applied Informatics and PhD supervisor in Chemical Engineering), Vlad Dafinescu (Bioengineer. Codice articolo 158594754
Quantità: Più di 20 disponibili
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 340. Codice articolo 26131363713
Quantità: 4 disponibili
Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Modelling and optimization of chemical engineering processes | Bio-inspired techniques | Elena-Niculina Dr¿goi (u. a.) | Taschenbuch | 340 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783659409257 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 113178161
Quantità: 5 disponibili
Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Print on Demand pp. 340 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Codice articolo 128175198
Quantità: 4 disponibili
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the latest years, the use of computational techniques for solving different problems is rising. In this context, engineers are faced with the difficult choice of selecting and applying the best methods suited for modelling and optimization purposes. On the other hand, there are cases when the conventional approaches are not feasible and alternative methods must be developed. This book is aimed to help engineers in the application and implementation of neural networks and bio-inspired algorithms for solving day-to-day engineering problems and specific process optimization. New techniques based on artificial neural networks, differential evolution algorithm, and artificial immune systems are presented. They have proven to be flexible and efficient, having as main advantages the generalization capability and the opportunity of providing useful information for experimental practice.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 340 pp. Englisch. Codice articolo 9783659409257
Quantità: 1 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the latest years, the use of computational techniques for solving different problems is rising. In this context, engineers are faced with the difficult choice of selecting and applying the best methods suited for modelling and optimization purposes. On the other hand, there are cases when the conventional approaches are not feasible and alternative methods must be developed. This book is aimed to help engineers in the application and implementation of neural networks and bio-inspired algorithms for solving day-to-day engineering problems and specific process optimization. New techniques based on artificial neural networks, differential evolution algorithm, and artificial immune systems are presented. They have proven to be flexible and efficient, having as main advantages the generalization capability and the opportunity of providing useful information for experimental practice. Codice articolo 9783659409257
Quantità: 1 disponibili
Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. PRINT ON DEMAND pp. 340. Codice articolo 18131363723
Quantità: 4 disponibili