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Progress in Intelligent Decision Science = Proceeding of IDS 2020 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Progress in Intelligent Decision Science/ edited by Tofigh Allahviranloo, Soheil Salahshour, Nafiz Arica.
其他題名:	Proceeding of IDS 2020 /
其他作者:	Arica, Nafiz.
面頁冊數:	XI, 989 p. 293 illus., 194 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Machine Learning. -
電子資源:	https://doi.org/10.1007/978-3-030-66501-2
ISBN:	9783030665012

Progress in Intelligent Decision Science = Proceeding of IDS 2020 /
Progress in Intelligent Decision ScienceProceeding of IDS 2020 /[electronic resource] :edited by Tofigh Allahviranloo, Soheil Salahshour, Nafiz Arica. - 1st ed. 2021. - XI, 989 p. 293 illus., 194 illus. in color.online resource. - Advances in Intelligent Systems and Computing,13012194-5365 ;. - Advances in Intelligent Systems and Computing,335.

Identification of Sport News in Turkish Tweets using Deep Learning Architectures -- Real-time News Grouping: Detecting the Same-content News on Turkish News Stream -- Statistical Analysis of Behavioural Intention Towards Private Umbilical Cord Blood Banking -- Improved Weighted Random Forest for Classification Problems -- A new Combination Method for Fuzzy Optimal Control -- Smart Room Temperature Controller IoT System -- Audio to Video: Generating a Talking Fake Agent -- Cluster-Based Monitoring and Location Estimation for Crowd Counting -- Genetic Algorithms and Neural Networks by Data Mining -- A new solution for the generalized shortest path problem -- An extension of DEMATEL under Pythagorean fuzzy environment -- Multi-Objective Genetic Algorithm and Interpolation Based Nonlinear Control Model -- The Design of a Novel Torque Wrench Based on TRIZ Decision Procedures -- Solving Linear Systems based on Z-numbers -- Z-numbers for uncertainty formulation.

This book contains the topics of artificial intelligence and deep learning that do have much application in real-life problems. The concept of uncertainty has long been used in applied science, especially decision making and a logical decision must be made in the field of uncertainty or in the real-life environment that is formed and combined with vague concepts and data. The chapters of this book are connected to the new concepts and aspects of decision making with uncertainty. Besides, other chapters are involved with the concept of data mining and decision making under uncertain computations.

ISBN: 9783030665012

Standard No.: 10.1007/978-3-030-66501-2doiSubjects--Topical Terms:

1137723
Machine Learning.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Progress in Intelligent Decision Science = Proceeding of IDS 2020 /
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