Cantitate/Preț
Produs
Total produse
Vezi coșul
Advances in Hybridization of Intelligent Methods: Models, Systems and Applications de Ioannis Hatzilygeroudis

Advances in Hybridization of Intelligent Methods: Models, Systems and Applications: Smart Innovation, Systems and Technologies, cartea 85

Editat de Ioannis Hatzilygeroudis, Vasile Palade
en Limba Engleză Hardback – 23 oct 2017
This book presents recent research on the hybridization of intelligent methods, which refers to combining methods to solve complex problems. It discusses hybrid approaches covering different areas of intelligent methods and technologies, such as neural networks, swarm intelligence, machine learning, reinforcement learning, deep learning, agent-based approaches, knowledge-based system and image processing. The book includes extended and revised versions of invited papers presented at the 6th International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2016), held in The Hague, Holland, in August 2016. 
The book is intended for researchers and practitioners from academia and industry interested in using hybrid methods for solving complex problems.


Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 58227 lei  38-44 zile
  Springer International Publishing – 25 aug 2018 58227 lei  38-44 zile
Hardback (1) 64498 lei  43-57 zile
  Springer International Publishing – 23 oct 2017 64498 lei  43-57 zile

Din seria Smart Innovation, Systems and Technologies

Preț: 64498 lei

Preț vechi: 80623 lei
-20% Nou

Puncte Express: 967
Preț estimativ în valută:
12342€ • 12918$ • 10272£

Carte tipărită la comandă

Livrare economică 31 martie-14 aprilie

 Adaugă în coș

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

Specificații

ISBN-13: 9783319667898
ISBN-10: 3319667890
Pagini: 147
Ilustrații: IX, 147 p. 44 illus., 23 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.4 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Smart Innovation, Systems and Technologies

Locul publicării:Cham, Switzerland

Cuprins

Deep Learning Approaches for Facial Emotion Recognition: A Case Study on FER-2013.- Analysis of Biologically Inspired Swarm Communication Models.- Target-Dependent Sentiment Analysis of Tweets using Bi-directional Gated Recurrent Neural Networks.- Traffic Modelling, Visualisation and Prediction for Urban Mobility Management.- Assurance in Reinforcement Learning Using Quantitative Verification.- Distillation of Deep Learning Ensembles as a Regularisation method.- Heuristic Constraint Answer Set Programming for Manufacturing Problems.

Textul de pe ultima copertă

This book presents recent research on the hybridization of intelligent methods, which refers to combining methods to solve complex problems. It discusses hybrid approaches covering different areas of intelligent methods and technologies, such as neural networks, swarm intelligence, machine learning, reinforcement learning, deep learning, agent-based approaches, knowledge-based system and image processing. The book includes extended and revised versions of invited papers presented at the 6th International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2016), held in The Hague, Holland, in August 2016. 
The book is intended for researchers and practitioners from academia and industry interested in using hybrid methods for solving complex problems.


Caracteristici

Presents hybrids of intelligent methods involving models, systems, and applications Provides hybrid approaches covering different areas of intelligent methods and technologies, such as neural networks, swarm intelligence, machine learning, reinforcement learning, deep learning, agent-based approaches, knowledge-based systems, and image processing. Includes extended and revised versions of invited papers presented at the 6th International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2016), held in The Hague, Holland, in August 2016 Includes supplementary material: sn.pub/extras