Advances in Soft Computing: 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Enseneda, Mexico, October 23-28, 2017, Proceedings, Part I
Author:   Félix Castro ,  Sabino Miranda-Jiménez ,  Miguel González-Mendoza
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2018
Volume:   10632
ISBN:  

9783030028367


Pages:   367
Publication Date:   01 January 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Advances in Soft Computing: 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Enseneda, Mexico, October 23-28, 2017, Proceedings, Part I


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Overview

The two-volume set LNAI 10632 and 10633 constitutes the proceedings of the 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, held in Enseneda, Mexico, in October 2017.  The total of 60 papers presented in these two volumes was carefully reviewed and selected from 203 submissions. The contributions were organized in the following topical sections:  Part I: neural networks; evolutionary algorithms and optimization; hybrid intelligent systems and fuzzy logic; and machine learning and data mining. Part II: natural language processing and social networks; intelligent tutoring systems and educational applications; and image processing and pattern recognition.

Full Product Details

Author:   Félix Castro ,  Sabino Miranda-Jiménez ,  Miguel González-Mendoza
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2018
Volume:   10632
Weight:   0.605kg
ISBN:  

9783030028367


ISBN 10:   3030028364
Pages:   367
Publication Date:   01 January 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Neural networks.- evolutionary algorithms and optimization.- hybrid intelligent systems and fuzzy logic.- machine learning and data mining.

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