Engineering Applications of Neural Networks - 18th International Conference, EANN 2017, Athens, Greece, August 25-27, 2017, Proceedings (Paperback, 1st ed. 2017)


This book constitutes the refereed proceedings of the 18th International Conference on Engineering Applications of Neural Networks, EANN 2017, held in Athens, Greece, in August 2017. The 40 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 83 submissions. The papers cover the topics of deep learning, convolutional neural networks, image processing, pattern recognition, recommendation systems, machine learning, and applications of Artificial Neural Networks (ANN) applications in engineering, 5G telecommunication networks, and audio signal processing. The volume also includes papers presented at the 6th Mining Humanistic Data Workshop (MHDW 2017) and the 2nd Workshop on 5G-Putting Intelligence to the Network Edge (5G-PINE).

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Product Description

This book constitutes the refereed proceedings of the 18th International Conference on Engineering Applications of Neural Networks, EANN 2017, held in Athens, Greece, in August 2017. The 40 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 83 submissions. The papers cover the topics of deep learning, convolutional neural networks, image processing, pattern recognition, recommendation systems, machine learning, and applications of Artificial Neural Networks (ANN) applications in engineering, 5G telecommunication networks, and audio signal processing. The volume also includes papers presented at the 6th Mining Humanistic Data Workshop (MHDW 2017) and the 2nd Workshop on 5G-Putting Intelligence to the Network Edge (5G-PINE).

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Communications in Computer and Information Science, 744

Release date

August 2017

Availability

Expected to ship within 10 - 15 working days

First published

2017

Editors

, , ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

737

Edition

1st ed. 2017

ISBN-13

978-3-319-65171-2

Barcode

9783319651712

Categories

LSN

3-319-65171-4



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