Screen LibraryAdvances in hybridization of intelligent methods : models, systems and applications /
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,...
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| Group Author: | ; |
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| Published: |
Springer,
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| Publisher Address: | Cham, Switzerland : |
| Publication Dates: | [2018] |
| Literature type: | Book |
| Language: | English |
| Series: |
Smart innovation, systems and technologies,
volume 85 |
| Subjects: | |
| Summary: |
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. |
| Item Description: | The book includes extended and revised versions of some of the papers presented at the 6th International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2016) and also papers submitted especially for this volume after a CFP. CIMA 2016 was held in conjunction with the 22nd European Conference on Artificial Intelligent (ECAI 2016), August 30, 2016, The Hague, Holland. |
| Carrier Form: | ix, 147 pages : illustrations (some color), forms ; 24 cm. |
| Bibliography: | Includes bibliographical references. |
| ISBN: |
9783319667898 (hardback) : 3319667890 (hardback) 9783319667904 (electronic book) 3319667904 (electronic book) |
| Index Number: | Q335 |
| CLC: | TP18 |
| Call Number: | TP18/A244-7 |
| Contents: | 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. |