東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Fuzzy systems" ]

切換: 標籤 | MARC模式 | ISBD

Fuzzy information processing 2023

Cohen, Kelly.

FindBook

Google Book

Amazon

博客來

Fuzzy information processing 2023

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Fuzzy information processing 2023/ edited by Kelly Cohen ... [et al.].
其他作者:	Cohen, Kelly.
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	x, 358 p. :illustrations (some col.), digital ;24 cm.
內容註:	Forcing the Network to use Human Explanations in its Inference Process -- Fuzzy Inference System-based Collision Avoidance of Unmanned Aerial Vehicles Optimized using Genetic Algorithm -- Fuzzy Logic-aided Inverse Kinematics Control for Redundant Manipulators -- Growth Kinetics of Gold Nanoparticles via p-fuzzy systems -- Optimization of Artificial Potential Field using Genetic Algorithm for Human-aware Navigation of Autonomous Mobile Robots -- Genetic Fuzzy Threat Assessment for Asteroids 2600 Derived Game -- Deep Learning ANFIS Architectures -- A Fuzzy Inference System for an Optimal Spacecraft Attitude State Trajectory -- Faster Algorithms for Estimating the Mean of a Quadratic Expression under Uncertainty -- People Prefer More Information About Uncertainty, But Perform Worse When Given This Information: An Explanation of the Paradoxical Phenomenon.
Contained By:	Springer Nature eBook
標題:	Fuzzy systems - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-46778-3
ISBN:	9783031467783

Fuzzy information processing 2023
Fuzzy information processing 2023[electronic resource] /edited by Kelly Cohen ... [et al.]. - Cham :Springer Nature Switzerland :2023. - x, 358 p. :illustrations (some col.), digital ;24 cm. - Lecture notes in networks and systems,v. 7512367-3389 ;. - Lecture notes in networks and systems ;v. 751..

Forcing the Network to use Human Explanations in its Inference Process -- Fuzzy Inference System-based Collision Avoidance of Unmanned Aerial Vehicles Optimized using Genetic Algorithm -- Fuzzy Logic-aided Inverse Kinematics Control for Redundant Manipulators -- Growth Kinetics of Gold Nanoparticles via p-fuzzy systems -- Optimization of Artificial Potential Field using Genetic Algorithm for Human-aware Navigation of Autonomous Mobile Robots -- Genetic Fuzzy Threat Assessment for Asteroids 2600 Derived Game -- Deep Learning ANFIS Architectures -- A Fuzzy Inference System for an Optimal Spacecraft Attitude State Trajectory -- Faster Algorithms for Estimating the Mean of a Quadratic Expression under Uncertainty -- People Prefer More Information About Uncertainty, But Perform Worse When Given This Information: An Explanation of the Paradoxical Phenomenon.

This book is an overview of latest successes and applications of fuzzy techniques-techniques that use expert knowledge formulated by natural-language words like "small". Engineering applications deal with aerospace (control of spacecrafts and unmanned aerial vehicles, air traffic control, airport passenger flow predictions), materials (designing gold nano-structures for medicine, catalysis, and sensors), and robot navigation and manipulation. Other application areas include cosmology, demographics, finances, wine production, medicine (diagnostics, epidemics control), and predicting human behavior. In many cases, fuzzy techniques are combined with machine learning AI. Due to natural-language origin of fuzzy techniques, such combination adds explainability (X) to AI. This book is recommended to students and practitioners interested in the state-of-the-art fuzzy-related XAI and to researchers willing to take on numerous remaining challenges.

ISBN: 9783031467783

Standard No.: 10.1007/978-3-031-46778-3doiSubjects--Topical Terms:

774376
Fuzzy systems
--Congresses.

LC Class. No.: QA248

Dewey Class. No.: 006.33

Fuzzy information processing 2023
LDR:02886nmm a2200337 a 4500 001 2336200
003 DE-He213
005 20231124062652.0
006 m d
007 cr nn 008maaau
008 240402s2023 sz s 0 eng d
020 $a 9783031467783 $q (electronic bk.)
020 $a 9783031467776 $q (paper)
024 7 $a 10.1007/978-3-031-46778-3 $2 doi
035 $a 978-3-031-46778-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA248
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.33 $2 23
090 $a QA248 $b .F996 2023
245 0 0 $a Fuzzy information processing 2023 $h [electronic resource] / $c edited by Kelly Cohen ... [et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2023.
300 $a x, 358 p. : $b illustrations (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v v. 751
505 0 $a Forcing the Network to use Human Explanations in its Inference Process -- Fuzzy Inference System-based Collision Avoidance of Unmanned Aerial Vehicles Optimized using Genetic Algorithm -- Fuzzy Logic-aided Inverse Kinematics Control for Redundant Manipulators -- Growth Kinetics of Gold Nanoparticles via p-fuzzy systems -- Optimization of Artificial Potential Field using Genetic Algorithm for Human-aware Navigation of Autonomous Mobile Robots -- Genetic Fuzzy Threat Assessment for Asteroids 2600 Derived Game -- Deep Learning ANFIS Architectures -- A Fuzzy Inference System for an Optimal Spacecraft Attitude State Trajectory -- Faster Algorithms for Estimating the Mean of a Quadratic Expression under Uncertainty -- People Prefer More Information About Uncertainty, But Perform Worse When Given This Information: An Explanation of the Paradoxical Phenomenon.
520 $a This book is an overview of latest successes and applications of fuzzy techniques-techniques that use expert knowledge formulated by natural-language words like "small". Engineering applications deal with aerospace (control of spacecrafts and unmanned aerial vehicles, air traffic control, airport passenger flow predictions), materials (designing gold nano-structures for medicine, catalysis, and sensors), and robot navigation and manipulation. Other application areas include cosmology, demographics, finances, wine production, medicine (diagnostics, epidemics control), and predicting human behavior. In many cases, fuzzy techniques are combined with machine learning AI. Due to natural-language origin of fuzzy techniques, such combination adds explainability (X) to AI. This book is recommended to students and practitioners interested in the state-of-the-art fuzzy-related XAI and to researchers willing to take on numerous remaining challenges.
650 0 $a Fuzzy systems $v Congresses. $3 774376
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Data Engineering. $3 3409361
700 1 $a Cohen, Kelly. $3 3669147
710 2 $a SpringerLink (Online service) $3 836513
710 2 $a North American Fuzzy Information Processing Society. $b Annual Meeting $d (2023 : $c Cincinnati, Ohio) $3 3669148
711 2 $a Workshop on Constraint Programming and Decision Making $d (2023 : $c Cincinnati, Ohio) $3 3669150
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in networks and systems ; $v v. 751. $3 3669149
856 4 0 $u https://doi.org/10.1007/978-3-031-46778-3
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)