Cantitate/Preț
Produs
Total produse
Vezi coșul
Soft Computing for Problem Solving 2019: Proceedings of SocProS 2019, Volume 1 de Atulya K. Nagar

Soft Computing for Problem Solving 2019: Proceedings of SocProS 2019, Volume 1: Advances in Intelligent Systems and Computing, cartea 1138

Editat de Atulya K. Nagar, Kusum Deep, Jagdish Chand Bansal, Kedar Nath Das
en Limba Engleză Paperback – 30 apr 2020
This book features the outcomes of the 9th International Conference on Soft Computing for Problem Solving, SocProS 2019, which brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to identify potential future directions. The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in areas such as algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that cannot easily be solved using traditional methods. 
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (2) 98404 lei  6-8 săpt.
  Springer Nature Singapore – 5 apr 2020 98404 lei  6-8 săpt.
  Springer Nature Singapore – 30 apr 2020 116442 lei  38-44 zile

Din seria Advances in Intelligent Systems and Computing

Preț: 116442 lei

Preț vechi: 145552 lei
-20% Nou

Puncte Express: 1747
Preț estimativ în valută:
22283€ • 23132$ • 18581£

Carte tipărită la comandă

Livrare economică 18-24 martie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9789811532894
ISBN-10: 9811532893
Pagini: 354
Ilustrații: XI, 354 p. 125 illus., 89 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.5 kg
Ediția:1st ed. 2020
Editura: Springer Nature Singapore
Colecția Springer
Seria Advances in Intelligent Systems and Computing

Locul publicării:Singapore, Singapore

Cuprins

Self-Taught Learning: Image Classification Using Stacked Autoencoders.- Performance analysis of Whale Optimization Algorithm Based on Strategy Parameter.- Comparison of PSO and Sequential Search algorithms for improvisation of entropy based ear localization.- An upgraded differential evolution via memory based mechanism for economic dispatch.- Some Applications of Generalized Fuzzy gamma*-Closed Sets.-Multi-Headed Self-Attention based Hierarchical Model for Extractive Summarization.

Notă biografică

Atulya K. Nagar holds the Foundation Chair as Professor of Mathematical Sciences, and is the Pro-Vice-Chancellor for Research and Dean of the Faculty of Science at Liverpool Hope University, United Kingdom. He is also the Head of the School of Mathematics, Computer Science and Engineering, which he established at the University. He is an internationally respected scholar working at the cutting edge of theoretical computer science, applied mathematical analysis, operations research, and systems engineering. He received a prestigious Commonwealth Fellowship to pursue his doctorate (DPhil) in Applied Nonlinear Mathematics, which he earned from the University of York (UK) in 1996. He holds a BSc (Hons), an MSc and MPhil (with distinction) in Mathematical Physics from the MDS University of Ajmer, India. His research expertise spans both applied mathematics and computational methods for nonlinear, complex, and intractable problems arising in science, engineering and industry. 
 
Prof. Kusum Deep is a Professor at the Department of Mathematics, Indian Institute of Technology Roorkee. Her research interests include numerical optimization, nature inspired optimization, computational intelligence, genetic algorithms, parallel genetic algorithms, and parallel particle swarm optimization.  
  
Dr. Jagdish Chand Bansal is an Assistant Professor at the South Asian University, New Delhi, India and visiting research fellow at Liverpool Hope University, UK. He has an excellent academic record and is a leading researcher in the field of swarm intelligence. He has published numerous research papers in respected international and national journals. 
  
Dr. Kedar Nath Das is an Assistant Professor at the Department of Mathematics, National Institute of Technology, Silchar, Assam, India. Over the past 10 years, he has made substantial contributions to research on soft computing, and has published several papers in prominent national and international journals. His chief area of interest is evolutionary and bio-inspired algorithms for optimization.

Caracteristici

Provides valuable insights in the area of computational intelligence to help new researchers Discusses the latest findings relating to a wide variety of industrial, engineering and scientific applications of soft computing Features invited papers from the inventors/originators of computational techniques

Textul de pe ultima copertă

This book features the outcomes of the 9th International Conference on Soft Computing for Problem Solving, SocProS 2019, which brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to identify potential future directions. The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in areas such as algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that cannot easily be solved using traditional methods.