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Advances in integrations of intellig...

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Advances in integrations of intelligent methodspost-workshop volume of the 8th International Workshop CIMA 2018, Volos, Greece, November 2018 (in conjunction with IEEE ICTAI 2018) /

Record Type:	Electronic resources : Monographic component part
Title/Author:	Advances in integrations of intelligent methodsedited by Ioannis Hatzilygeroudis, Isidoros Perikos, Foteini Grivokostopoulou.
Reminder of title:	post-workshop volume of the 8th International Workshop CIMA 2018, Volos, Greece, November 2018 (in conjunction with IEEE ICTAI 2018) /
other author:	Hatzilygeroudis, Ioannis.
corporate name:
Published:	Singapore :Springer Singapore :2020.
Description:	xiv, 161 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Artificial intelligence
Online resource:	https://doi.org/10.1007/978-981-15-1918-5
ISBN:	9789811519185$q(electronic bk.)

Advances in integrations of intelligent methodspost-workshop volume of the 8th International Workshop CIMA 2018, Volos, Greece, November 2018 (in conjunction with IEEE ICTAI 2018) /
Advances in integrations of intelligent methodspost-workshop volume of the 8th International Workshop CIMA 2018, Volos, Greece, November 2018 (in conjunction with IEEE ICTAI 2018) /[electronic resource] :edited by Ioannis Hatzilygeroudis, Isidoros Perikos, Foteini Grivokostopoulou. - Singapore :Springer Singapore :2020. - xiv, 161 p. :ill., digital ;24 cm. - Smart innovation, systems and technologies,v.1702190-3018 ;. - Smart innovation, systems and technologies ;v.12..

Aligning Learning Materials and Assessment with Course Learning Outcomes in MOOCs using Data Mining Techniques -- Edge-Centric Queries Stream Management based on an Ensemble Model -- Bitcoin Price Prediction Combining Data and Text Mining -- Towards New Evaluation Metrics for Relational Learning -- Color Models for Skin Lesions Classification from Dermatoscopic Images -- Methods of Statistical Analysis and Machine Learning for the Evaluation of Generated Hardware and Firmware Designs -- Genetic Algorithms for Creating Large Job Shop Dispatching Rules.

This book presents a number of research efforts in combining AI methods or techniques to solve complex problems in various areas. The combination of different intelligent methods is an active research area in artificial intelligence (AI), since it is believed that complex problems can be more easily solved with integrated or hybrid methods, such as combinations of different soft computing methods (fuzzy logic, neural networks, and evolutionary algorithms) among themselves or with hard AI technologies like logic and rules; machine learning with soft computing and classical AI methods; and agent-based approaches with logic and non-symbolic approaches. Some of the combinations are already extensively used, including neuro-symbolic methods, neuro-fuzzy methods, and methods combining rule-based and case-based reasoning. However, other combinations are still being investigated, such as those related to the semantic web, deep learning and swarm intelligence algorithms. Most are connected with specific applications, while the rest are based on principles.

ISBN: 9789811519185$q(electronic bk.)

Standard No.: 10.1007/978-981-15-1918-5doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

Advances in integrations of intelligent methodspost-workshop volume of the 8th International Workshop CIMA 2018, Volos, Greece, November 2018 (in conjunction with IEEE ICTAI 2018) /
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520 $a This book presents a number of research efforts in combining AI methods or techniques to solve complex problems in various areas. The combination of different intelligent methods is an active research area in artificial intelligence (AI), since it is believed that complex problems can be more easily solved with integrated or hybrid methods, such as combinations of different soft computing methods (fuzzy logic, neural networks, and evolutionary algorithms) among themselves or with hard AI technologies like logic and rules; machine learning with soft computing and classical AI methods; and agent-based approaches with logic and non-symbolic approaches. Some of the combinations are already extensively used, including neuro-symbolic methods, neuro-fuzzy methods, and methods combining rule-based and case-based reasoning. However, other combinations are still being investigated, such as those related to the semantic web, deep learning and swarm intelligence algorithms. Most are connected with specific applications, while the rest are based on principles.
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