Proceedings 27 Workshop Computational Intelligence Dortmund 23 24 November 2017

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Proceedings - 33. Workshop Computational Intelligence: Berlin, 23.-24. November 2023

Author : Schulte, Horst,Hoffmann, Frank,Mikut, Ralf
Publisher : KIT Scientific Publishing
Page : 282 pages
File Size : 50,7 Mb
Release : 2023-11-15
Category : Electronic
ISBN : 9783731513247

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Proceedings - 33. Workshop Computational Intelligence: Berlin, 23.-24. November 2023 by Schulte, Horst,Hoffmann, Frank,Mikut, Ralf Pdf

Dieser Tagungsband enthält die Beiträge des 33. Workshops „Computational Intelligence“ der vom 23.11. – 24.11.2023 in Berlin stattfindet. Die Schwerpunkte sind Methoden, Anwendungen und Tools für ° Fuzzy-Systeme, ° Künstliche Neuronale Netze, ° Evolutionäre Algorithmen und ° Data-Mining-Verfahren sowie der Methodenvergleich anhand von industriellen und Benchmark-Problemen. - The workshop proceedings contain the contributions of the 33rd workshop "Computational Intelligence" which will take place from 23.11. - 24.11.2023 in Berlin. The focus is on methods, applications and tools for ° Fuzzy systems, ° Artificial Neural Networks, ° Evolutionary algorithms and ° Data mining methods as well as the comparison of methods on the basis of industrial and benchmark problems.

Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020

Author : Schulte, Horst ,Hoffmann, Frank,Mikut, Ralf
Publisher : KIT Scientific Publishing
Page : 288 pages
File Size : 50,8 Mb
Release : 2020-11-20
Category : Computers
ISBN : 9783731510512

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Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020 by Schulte, Horst ,Hoffmann, Frank,Mikut, Ralf Pdf

Dieser Tagungsband enthält die Beiträge des 30. Workshops Computational Intelligence. Die Schwerpunkte sind Methoden, Anwendungen und Tools für Fuzzy-Systeme, Künstliche Neuronale Netze, Evolutionäre Algorithmen und Data-Mining-Verfahren sowie der Methodenvergleich anhand von industriellen und Benchmark-Problemen. - The proceedings of the 30th workshop on computational intelligence focus on methods, applications, and tools for fuzzy systems, artificial neural networks, deep learning, system identification, and data mining techniques.

Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021

Author : Schulte, Horst,Hoffmann, Frank,Mikut, Ralf
Publisher : KIT Scientific Publishing
Page : 318 pages
File Size : 53,8 Mb
Release : 2021-11-15
Category : Computers
ISBN : 9783731511311

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Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021 by Schulte, Horst,Hoffmann, Frank,Mikut, Ralf Pdf

Dieser Tagungsband enthält die Beiträge des 31. Workshop Computational Intelligence. Die Schwerpunkte sind Methoden, Anwendungen und Tools für Fuzzy-Systeme, Künstliche Neuronale Netze, Evolutionäre Algorithmen und Data-Mining-Verfahren sowie der Methodenvergleich anhand von industriellen und Benchmark-Problemen. - The proceedings of the 31st Workshop on Computational Intelligence focus on methods, applications, and tools for fuzzy systems, artificial neural networks, deep learning, system identification, and data mining techniques.

KI 2017: Advances in Artificial Intelligence

Author : Gabriele Kern-Isberner,Johannes Fürnkranz,Matthias Thimm
Publisher : Springer
Page : 396 pages
File Size : 54,8 Mb
Release : 2017-09-18
Category : Computers
ISBN : 9783319671901

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KI 2017: Advances in Artificial Intelligence by Gabriele Kern-Isberner,Johannes Fürnkranz,Matthias Thimm Pdf

This book constitutes the refereed proceedings of the 40th Annual German Conference on Artificial Intelligence, KI 2017 held in Dortmund, Germany in September 2017. The 20 revised full technical papers presented together with 16 short technical communications were carefully reviewed and selected from 73 submissions. The conference cover a range of topics from, e. g., agents, robotics, cognitive sciences, machine learning, planning, knowledge representation, reasoning, and ontologies, with numerous applications in areas like social media, psychology, transportation systems and reflecting the richness and diversity of their field.

Lecture Notes in Computational Intelligence and Decision Making

Author : Volodymyr Lytvynenko,Sergii Babichev,Waldemar Wójcik,Olena Vynokurova,Svetlana Vyshemyrskaya,Svetlana Radetskaya
Publisher : Springer
Page : 715 pages
File Size : 53,7 Mb
Release : 2019-07-23
Category : Technology & Engineering
ISBN : 9783030264741

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Lecture Notes in Computational Intelligence and Decision Making by Volodymyr Lytvynenko,Sergii Babichev,Waldemar Wójcik,Olena Vynokurova,Svetlana Vyshemyrskaya,Svetlana Radetskaya Pdf

Information and computer technologies for data analysis and processing in various fields of data mining and machine learning generates the conditions for increasing the effectiveness of information processing by making it faster and more accurate. The book includes 49 scientific papers presenting the latest research in the fields of data mining, machine learning and decision-making. Divided into three sections: “Analysis and Modeling of Complex Systems and Processes”; “Theoretical and Applied Aspects of Decision-Making Systems”; and “Computational Intelligence and Inductive Modeling”, the book is of interest to scientists and developers in the field.

Advances in Fuzzy Logic and Technology 2017

Author : Janusz Kacprzyk,Eulalia Szmidt,Sławomir Zadrożny,Krassimir T. Atanassov,Maciej Krawczak
Publisher : Springer
Page : 712 pages
File Size : 50,6 Mb
Release : 2017-08-30
Category : Technology & Engineering
ISBN : 9783319668307

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Advances in Fuzzy Logic and Technology 2017 by Janusz Kacprzyk,Eulalia Szmidt,Sławomir Zadrożny,Krassimir T. Atanassov,Maciej Krawczak Pdf

This volume constitutes the proceedings of two collocated international conferences: EUSFLAT-2017 – the 10th edition of the flagship Conference of the European Society for Fuzzy Logic and Technology held in Warsaw, Poland, on September 11–15, 2017, and IWIFSGN’2017 – The Sixteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, held in Warsaw on September 13–15, 2017. The conferences were organized by the Systems Research Institute, Polish Academy of Sciences, Department IV of Engineering Sciences, Polish Academy of Sciences, and the Polish Operational and Systems Research Society in collaboration with the European Society for Fuzzy Logic and Technology (EUSFLAT), the Bulgarian Academy of Sciences and various European universities. The aim of the EUSFLAT-2017 was t o bring together theoreticians and practitioners working on fuzzy logic, fuzzy systems, soft computing and related areas and to provide a platform for exchanging ideas and discussing the latest trends and ideas, while the aim of IWIFSGN’2017 was to discuss new developments in extensions of the concept of a fuzzy set, such as an intuitionistic fuzzy set, as well as other concepts, like that of a generalized net. The papers included, written by leading international experts, as well as the special sessions and panel discussions contribute to the development the field, strengthen collaborations and intensify networking.

Enhancing Surrogate-Based Optimization Through Parallelization

Author : Frederik Rehbach
Publisher : Springer Nature
Page : 123 pages
File Size : 41,8 Mb
Release : 2023-05-29
Category : Technology & Engineering
ISBN : 9783031306099

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Enhancing Surrogate-Based Optimization Through Parallelization by Frederik Rehbach Pdf

This book presents a solution to the challenging issue of optimizing expensive-to-evaluate industrial problems such as the hyperparameter tuning of machine learning models. The approach combines two well-established concepts, Surrogate-Based Optimization (SBO) and parallelization, to efficiently search for optimal parameter setups with as few function evaluations as possible. Through in-depth analysis, the need for parallel SBO solvers is emphasized, and it is demonstrated that they outperform model-free algorithms in scenarios with a low evaluation budget. The SBO approach helps practitioners save significant amounts of time and resources in hyperparameter tuning as well as other optimization projects. As a highlight, a novel framework for objectively comparing the efficiency of parallel SBO algorithms is introduced, enabling practitioners to evaluate and select the most effective approach for their specific use case. Based on practical examples, decision support is delivered, detailing which parts of industrial optimization projects can be parallelized and how to prioritize which parts to parallelize first. By following the framework, practitioners can make informed decisions about how to allocate resources and optimize their models efficiently.

Structural, Syntactic, and Statistical Pattern Recognition

Author : Adam Krzyzak,Ching Y. Suen,Andrea Torsello,Nicola Nobile
Publisher : Springer Nature
Page : 336 pages
File Size : 51,8 Mb
Release : 2023-01-01
Category : Computers
ISBN : 9783031230288

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Structural, Syntactic, and Statistical Pattern Recognition by Adam Krzyzak,Ching Y. Suen,Andrea Torsello,Nicola Nobile Pdf

This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2022, held in Montreal, QC, Canada, in August 2022. The 30 papers together with 2 invited talks presented in this volume were carefully reviewed and selected from 50 submissions. The workshops presents papers on topics such as deep learning, processing, computer vision, machine learning and pattern recognition and much more.

Parallel Problem Solving from Nature – PPSN XVII

Author : Günter Rudolph,Anna V. Kononova,Hernán Aguirre,Pascal Kerschke,Gabriela Ochoa,Tea Tušar
Publisher : Springer Nature
Page : 632 pages
File Size : 45,7 Mb
Release : 2022-08-13
Category : Computers
ISBN : 9783031147142

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Parallel Problem Solving from Nature – PPSN XVII by Günter Rudolph,Anna V. Kononova,Hernán Aguirre,Pascal Kerschke,Gabriela Ochoa,Tea Tušar Pdf

This two-volume set LNCS 13398 and LNCS 13399 constitutes the refereed proceedings of the 17th International Conference on Parallel Problem Solving from Nature, PPSN 2022, held in Dortmund, Germany, in September 2022. The 87 revised full papers were carefully reviewed and selected from numerous submissions. The conference presents a study of computing methods derived from natural models. Amorphous Computing, Artificial Life, Artificial Ant Systems, Artificial Immune Systems, Artificial Neural Networks, Cellular Automata, Evolutionary Computation, Swarm Computing, Self-Organizing Systems, Chemical Computation, Molecular Computation, Quantum Computation, Machine Learning, and Artificial Intelligence approaches using Natural Computing methods are just some of the topics covered in this field.

Data-Driven Cognitive Manufacturing - Applications in Predictive Maintenance and Zero Defect Manufacturing

Author : Dimitris Kiritsis,Melinda Hodkiewicz,Oscar Lazaro,Jay Lee,Jun Ni
Publisher : Frontiers Media SA
Page : 124 pages
File Size : 46,9 Mb
Release : 2021-03-10
Category : Science
ISBN : 9782889665839

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Data-Driven Cognitive Manufacturing - Applications in Predictive Maintenance and Zero Defect Manufacturing by Dimitris Kiritsis,Melinda Hodkiewicz,Oscar Lazaro,Jay Lee,Jun Ni Pdf