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Advances in Hybridization of Intelligent Methods

  • Kartonierter Einband
  • 160 Seiten
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This book presents recent research on the hybridization of intelligent methods, which refers to combining methods to solve complex... Weiterlesen
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Beschreibung

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.




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



Inhalt
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.

Produktinformationen

Titel: Advances in Hybridization of Intelligent Methods
Untertitel: Models, Systems and Applications
Editor:
EAN: 9783319883205
ISBN: 3319883208
Format: Kartonierter Einband
Herausgeber: Springer International Publishing
Genre: Allgemeines & Lexika
Anzahl Seiten: 160
Gewicht: 254g
Größe: H235mm x B155mm x T8mm
Jahr: 2018
Auflage: Softcover reprint of the original 1st ed. 2018

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