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Proceedings 28 Workshop Computational Intelligence Dortmund 29 30 November 2018 Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Proceedings 28 Workshop Computational Intelligence Dortmund 29 30 November 2018 book. This book definitely worth reading, it is an incredibly well-written.
Author : Hoffmann, Frank,Huellermeier, Eyke,Mikut, Ralf
Publisher : KIT Scientific Publishing
Page : 310 pages
File Size : 40,5 Mb
Release : 2018-11-21
Category : Electronic
ISBN : 9783731508458
Author : Hoffmann, Frank,Hüllermeier, Eyke,Mikut, Ralf
Publisher : KIT Scientific Publishing
Page : 322 pages
File Size : 46,7 Mb
Release : 2019-11-21
Category : Computers
ISBN : 9783731509790
Author : Vassil Sgurev,Vladimir Jotsov,Janusz Kacprzyk
Publisher : Springer Nature
Page : 489 pages
File Size : 55,7 Mb
Release : 2021-11-03
Category : Technology & Engineering
ISBN : 9783030781248
This book represents the experience of successful researchers from four continents on a broad range of intelligent systems, and it hints how to avoid anticipated conflicts and problems during multidisciplinary innovative research from Industry 4.0 and/or Internet of Things through modern machine learning, and software agent applications to open data science big data/advance analytics/visual analytics/text mining/web mining/knowledge discovery/deep data mining issues. The considered intelligent part is essential in most smart/control systems, cyber security, bioinformatics, virtual reality, robotics, mathematical modelling projects, and its significance rapidly increases in other technologies. Theoretical foundations of fuzzy sets, mathematical and non-classical logic also are rapidly developing.
Author : Schulte, Horst,Hoffmann, Frank,Mikut, Ralf
Publisher : KIT Scientific Publishing
Page : 318 pages
File Size : 42,6 Mb
Release : 2021-11-15
Category : Computers
ISBN : 9783731511311
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.
Author : Schulte, Horst ,Hoffmann, Frank,Mikut, Ralf
Publisher : KIT Scientific Publishing
Page : 288 pages
File Size : 55,6 Mb
Release : 2020-11-20
Category : Computers
ISBN : 9783731510512
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.
Author : Schulte, Horst,Hoffmann, Frank,Mikut, Ralf
Publisher : KIT Scientific Publishing
Page : 282 pages
File Size : 43,7 Mb
Release : 2023-11-15
Category : Electronic
ISBN : 9783731513247
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.
Author : Hoffmann, Frank,Huellermeier, E.
Publisher : KIT Scientific Publishing
Page : 380 pages
File Size : 43,8 Mb
Release : 2014-11-20
Category : Electronic
ISBN : 9783731502753
Author : Volodymyr Lytvynenko,Sergii Babichev,Waldemar Wójcik,Olena Vynokurova,Svetlana Vyshemyrskaya,Svetlana Radetskaya
Publisher : Springer
Page : 715 pages
File Size : 42,6 Mb
Release : 2019-07-23
Category : Technology & Engineering
ISBN : 9783030264741
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.
Author : Hoffmann, Frank,Huellermeier, E.,Mikut, Ralf
Publisher : KIT Scientific Publishing
Page : 294 pages
File Size : 55,9 Mb
Release : 2016-11-14
Category : Electronic
ISBN : 9783731505884
Author : Frederik Rehbach
Publisher : Springer Nature
Page : 123 pages
File Size : 48,8 Mb
Release : 2023-05-29
Category : Technology & Engineering
ISBN : 9783031306099
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.
Author : Gilbert Müller
Publisher : Springer
Page : 292 pages
File Size : 51,6 Mb
Release : 2018-09-03
Category : Computers
ISBN : 9783658235598
Gilbert Müller introduces the foundations of Business Process Management as well as Case-based Reasoning and presents a novel approach to assist the complex, time-consuming, and error-prone task of workflow modeling. By means of methods from artificial intelligence, in particular from the field of Case-based Reasoning, he shows how workflows can be automatically constructed according to a query specified by the user. Thus, the modeling process can be supported substantially, which addresses a highly relevant problem in many workflow domains.
Author : Mong-Fong Horng,Hsu-Yang Kung,Chi-Hua Chen,Feng-Jang Hwang
Publisher : MDPI
Page : 272 pages
File Size : 40,8 Mb
Release : 2020-05-22
Category : Technology & Engineering
ISBN : 9783039288632
This book collects 14 articles from the Special Issue entitled “Deep Learning Applications with Practical Measured Results in Electronics Industries” of Electronics. Topics covered in this Issue include four main parts: (1) environmental information analyses and predictions, (2) unmanned aerial vehicle (UAV) and object tracking applications, (3) measurement and denoising techniques, and (4) recommendation systems and education systems. These authors used and improved deep learning techniques (e.g., ResNet (deep residual network), Faster-RCNN (faster regions with convolutional neural network), LSTM (long short term memory), ConvLSTM (convolutional LSTM), GAN (generative adversarial network), etc.) to analyze and denoise measured data in a variety of applications and services (e.g., wind speed prediction, air quality prediction, underground mine applications, neural audio caption, etc.). Several practical experiments were conducted, and the results indicate that the performance of the presented deep learning methods is improved compared with the performance of conventional machine learning methods.
Author : Rudolf Kruse,Christian Borgelt,Christian Braune,Sanaz Mostaghim,Matthias Steinbrecher
Publisher : Springer
Page : 564 pages
File Size : 55,6 Mb
Release : 2016-09-16
Category : Computers
ISBN : 9781447172963
This textbook provides a clear and logical introduction to the field, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior in complex environments. This enhanced second edition has been fully revised and expanded with new content on swarm intelligence, deep learning, fuzzy data analysis, and discrete decision graphs. Features: provides supplementary material at an associated website; contains numerous classroom-tested examples and definitions throughout the text; presents useful insights into all that is necessary for the successful application of computational intelligence methods; explains the theoretical background underpinning proposed solutions to common problems; discusses in great detail the classical areas of artificial neural networks, fuzzy systems and evolutionary algorithms; reviews the latest developments in the field, covering such topics as ant colony optimization and probabilistic graphical models.
Author : Frank Hutter,Lars Kotthoff,Joaquin Vanschoren
Publisher : Springer
Page : 223 pages
File Size : 48,9 Mb
Release : 2019-05-17
Category : Computers
ISBN : 9783030053185
This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.
Author : Adam Krzyzak,Ching Y. Suen,Andrea Torsello,Nicola Nobile
Publisher : Springer Nature
Page : 336 pages
File Size : 53,9 Mb
Release : 2023-01-01
Category : Computers
ISBN : 9783031230288
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.
