State of the Art on Grammatical Inference Using Evolutionary Method PDF Download
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Author: Hari Mohan Pandey
Publisher: Academic Press
ISBN: 0128221542
Category : Science
Languages : en
Pages : 230
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Book Description
State of the Art on Grammatical Inference Using Evolutionary Method presents an approach for grammatical inference (GI) using evolutionary algorithms. Grammatical inference deals with the standard learning procedure to acquire grammars based on evidence about the language. It has been extensively studied due to its high importance in various fields of engineering and science. The book's prime purpose is to enhance the current state-of-the-art of grammatical inference methods and present new evolutionary algorithms-based approaches for context free grammar induction. The book's focus lies in the development of robust genetic algorithms for context free grammar induction. The new algorithms discussed in this book incorporate Boolean-based operators during offspring generation within the execution of the genetic algorithm. Hence, the user has no limitation on utilizing the evolutionary methods for grammatical inference. - Discusses and summarizes the latest developments in Grammatical Inference, with a focus on Evolutionary Methods - Provides an understanding of premature convergence as well as genetic algorithms - Presents a performance analysis of genetic algorithms as well as a complete look into the wide range of applications of Grammatical Inference methods - Demonstrates how to develop a robust experimental environment to conduct experiments using evolutionary methods and algorithms
Author: Hari Mohan Pandey
Publisher: Academic Press
ISBN: 0128221542
Category : Science
Languages : en
Pages : 230
Get Book Here
Book Description
State of the Art on Grammatical Inference Using Evolutionary Method presents an approach for grammatical inference (GI) using evolutionary algorithms. Grammatical inference deals with the standard learning procedure to acquire grammars based on evidence about the language. It has been extensively studied due to its high importance in various fields of engineering and science. The book's prime purpose is to enhance the current state-of-the-art of grammatical inference methods and present new evolutionary algorithms-based approaches for context free grammar induction. The book's focus lies in the development of robust genetic algorithms for context free grammar induction. The new algorithms discussed in this book incorporate Boolean-based operators during offspring generation within the execution of the genetic algorithm. Hence, the user has no limitation on utilizing the evolutionary methods for grammatical inference. - Discusses and summarizes the latest developments in Grammatical Inference, with a focus on Evolutionary Methods - Provides an understanding of premature convergence as well as genetic algorithms - Presents a performance analysis of genetic algorithms as well as a complete look into the wide range of applications of Grammatical Inference methods - Demonstrates how to develop a robust experimental environment to conduct experiments using evolutionary methods and algorithms
Author: Andrey A. Radionov
Publisher: Springer Nature
ISBN: 3031511271
Category : Technology & Engineering
Languages : en
Pages : 513
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Book Description
This book reports on innovative research and developments in automation. Spanning a wide range of disciplines, including communication engineering, power engineering, control engineering, instrumentation, signal processing and cybersecurity, it focuses on methods and findings aimed at improving the control and monitoring of industrial and manufacturing processes as well as safety. Based on the 6th International Russian Automation Conference (RusAutoCon2023), held as a hybrid conference on September 10–16, 2023, in/from Sochi, Russia, this book provides academics and professionals with a timely overview of and extensive information on the state of the art in the field of automation and control systems. It is also expected to foster new ideas and collaborations between groups in different countries.
Author: Juan Ramon Rabunal
Publisher: IGI Global
ISBN: 1599048507
Category : Computers
Languages : en
Pages : 1673
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Book Description
"This book is a comprehensive and in-depth reference to the most recent developments in the field covering theoretical developments, techniques, technologies, among others"--Provided by publisher.
Author: Rudolf Freund
Publisher: Springer Nature
ISBN: 3030771024
Category : Computers
Languages : en
Pages : 189
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Book Description
This book constitutes the refereed post-conference proceedings of the 21st International Conference on Membrane Computing, CMC 2020, held as a virtual event, in September 2020. The 10 full papers presented were selected from 31 submissions. The papers deal with all aspects on membrane computing and related areas.
Author: Alberto Griggio
Publisher: TU Wien Academic Press
ISBN: 3854480539
Category : Computers
Languages : en
Pages : 405
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Book Description
The Conference on Formal Methods in Computer-Aided Design (FMCAD) is an annual conference on the theory and applications of formal methods in hardware and system in academia and industry for presenting and discussing groundbreaking methods, technologies, theoretical results, and tools for reasoning formally about computing systems. FMCAD covers formal aspects of computer-aided system testing.
Author: Ilias Maglogiannis
Publisher: Springer Nature
ISBN: 3030491862
Category : Computers
Languages : en
Pages : 475
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Book Description
This 2 volume-set of IFIP AICT 583 and 584 constitutes the refereed proceedings of the 16th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2020, held in Neos Marmaras, Greece, in June 2020.* The 70 full papers and 5 short papers presented were carefully reviewed and selected from 149 submissions. They cover a broad range of topics related to technical, legal, and ethical aspects of artificial intelligence systems and their applications and are organized in the following sections: Part I: classification; clustering - unsupervised learning -analytics; image processing; learning algorithms; neural network modeling; object tracking - object detection systems; ontologies - AI; and sentiment analysis - recommender systems. Part II: AI ethics - law; AI constraints; deep learning - LSTM; fuzzy algebra - fuzzy systems; machine learning; medical - health systems; and natural language. *The conference was held virtually due to the COVID-19 pandemic.
Author: Stephen Smith
Publisher: Springer Nature
ISBN: 3031568559
Category :
Languages : en
Pages : 422
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Book Description
Author: Eunika Mercier-Laurent
Publisher: Springer Nature
ISBN: 3031610695
Category :
Languages : en
Pages : 268
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Book Description
Author: Anupam Shukla
Publisher: Springer
ISBN: 364214344X
Category : Technology & Engineering
Languages : en
Pages : 467
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Book Description
Soft Computing today is a very vast field whose extent is beyond measure. The boundaries of this magnificent field are spreading at an enormous rate making it possible to build computationally intelligent systems that can do virtually anything, even after considering the hostile practical limitations. Soft Computing, mainly comprising of Artificial Neural Networks, Evolutionary Computation, and Fuzzy Logic may itself be insufficient to cater to the needs of various kinds of complex problems. In such a scenario, we need to carry out amalgamation of same or different computing approaches, along with heuristics, to make fabulous systems for problem solving. There is further an attempt to make these computing systems as adaptable as possible, where the value of any parameter is set and continuously modified by the system itself. This book first presents the basic computing techniques, draws special attention towards their advantages and disadvantages, and then motivates their fusion, in a manner to maximize the advantages and minimize the disadvantages. Conceptualization is a key element of the book, where emphasis is on visualizing the dynamics going inside the technique of use, and hence noting the shortcomings. A detailed description of different varieties of hybrid and adaptive computing systems is given, paying special attention towards conceptualization and motivation. Different evolutionary techniques are discussed that hold potential for generation of fairly complex systems. The complete book is supported by the application of these techniques to biometrics. This not only enables better understanding of the techniques with the added application base, it also opens new dimensions of possibilities how multiple biometric modalities can be fused together to make effective and scalable systems.
Author: Krzysztof Czarnecki
Publisher: Springer
ISBN: 3642360890
Category : Computers
Languages : en
Pages : 424
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Book Description
This book constitutes the thoroughly refereed post-proceedings of the 5th International Conference on Software Language Engineering, SLE 2012, held in Dresden, Germany, in September 2012. The 17 papers presented together with 2 tool demonstration papers were carefully reviewed and selected from 62 submissions. SLE’s foremost mission is to encourage and organize communication between communities that have traditionally looked at software languages from different, more specialized, and yet complementary perspectives. SLE emphasizes the fundamental notion of languages as opposed to any realization in specific technical spaces.
