Generalized Nets

Generalized Nets PDF

Author: Krassimir T. Atanassov

Publisher: World Scientific

Published: 1991

Total Pages: 396

ISBN-13: 9789810205980

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The Generalized Nets (GNs) are extensions of Petri nets and of different Petri nets modifications, introduced by the author (1982). In the book, definitions and the basic properties of GNs are given. The GNs extensions and reductions are discussed. GNs, which describe the functioning and results of the work of different types of petri nets, different types of finite automata and of Turing machines, are given. Over the GNs are defined different operations, relations and operators. They can also be transferred onto other nets. Many open problems in the GNs theory are given.

Applications of Generalized Nets

Applications of Generalized Nets PDF

Author: Krassimir T. Atanassov

Publisher: World Scientific

Published: 1993

Total Pages: 410

ISBN-13: 9789810206673

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This book discusses some applications of Generalized Nets (GNs). They include the functioning and results of the work of expert systems, flexible manufacturing systems, neuron networks, computers, medical, transportational, chemical and other processes. Processes can be simulated, controlled and optimized on the basis of these GNs. A program package for GNs (PPGN) is described.

Generalized Nets

Generalized Nets PDF

Author: Krassimir T Atanassov

Publisher: World Scientific

Published: 1991-10-31

Total Pages: 396

ISBN-13: 9814506311

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The Generalized Nets (GNs) are extensions of Petri nets and of different Petri nets modifications, introduced by the author (1982). In the book, definitions and the basic properties of GNs are given. The GNs extensions and reductions are discussed. GNs, which describe the functioning and results of the work of different types of petri nets, different types of finite automata and of Turing machines, are given. Over the GNs are defined different operations, relations and operators. They can also be transferred onto other nets. Many open problems in the GNs theory are given.

Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005

Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005 PDF

Author: Wlodzislaw Duch

Publisher: Springer

Published: 2005-08-25

Total Pages: 1051

ISBN-13: 3540287566

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This volume is the first part of the two-volume proceedings of the International C- ference on Artificial Neural Networks (ICANN 2005), held on September 11–15, 2005 in Warsaw, Poland, with several accompanying workshops held on September 15, 2005 at the Nicolaus Copernicus University, Toru , Poland. The ICANN conference is an annual meeting organized by the European Neural Network Society in cooperation with the International Neural Network Society, the Japanese Neural Network Society, and the IEEE Computational Intelligence Society. It is the premier European event covering all topics concerned with neural networks and related areas. The ICANN series of conferences was initiated in 1991 and soon became the major European gathering for experts in those fields. In 2005 the ICANN conference was organized by the Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, and the Nicolaus Copernicus Univ- sity, Toru , Poland. From over 600 papers submitted to the regular sessions and some 10 special c- ference sessions, the International Program Committee selected – after a thorough peer-review process – about 270 papers for publication. The large number of papers accepted is certainly a proof of the vitality and attractiveness of the field of artificial neural networks, but it also shows a strong interest in the ICANN conferences.

Recent Contributions in Intelligent Systems

Recent Contributions in Intelligent Systems PDF

Author: Vassil Sgurev

Publisher: Springer

Published: 2016-10-27

Total Pages: 390

ISBN-13: 3319414380

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This volume is a brief, yet comprehensive account of new development, tools, techniques and solutions in the broadly perceived “intelligent systems”. New concepts and ideas concern the development of effective and efficient models which would make it possible to effectively and efficiently describe and solve processes in various areas of science and technology. Special emphasis is on the dealing with uncertainty and imprecision that permeates virtually all real world processes and phenomena, and has to properly be modeled by formal and algorithmic tools and techniques so that they be adequate and useful. The papers in this volume concern a wide array of possible techniques exemplified by, on the one hand, logic, probabilistic, fuzzy, intuitionistic fuzzy, neuro-fuzzy, etc. approaches. On the other hand, they represent the use of such systems modeling tools as generalized nets, optimization and control models, systems analytic models, etc. They concerns a variety of approaches, from pattern recognition, image analysis, education system modeling, biological and medical systems modeling, etc.

Modelling with Generalized Stochastic Petri Nets

Modelling with Generalized Stochastic Petri Nets PDF

Author: M. Ajmone Marsan

Publisher:

Published: 1995-12-12

Total Pages: 338

ISBN-13:

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World renowned leaders in the field provide an accessible introduction to the use of Generalized Stochastic Petri Nets (GSPNs) for the performance analysis of diverse distributed systems. Divided into two parts, it begins with a summary of the major results in GSPN theory. The second section is devoted entirely to application examples which demonstrate how GSPN methodology can be used in different arenas. A simple version of the software tool used to analyse GSPN models is included with the book and a concise manual for its use is presented in the later chapters.