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Author: H Garcilazo
Publisher: World Scientific
ISBN: 9814513784
Category :
Languages : en
Pages : 324
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Book Description
This book gives a comprehensive review of the current status of the theory of the pion-two-nucleon systems at intermediate energies. It also makes an extensive comparison of the theoretical prediction with the corresponding data obtained recently from the major meson factories. Contents:Coupled πNN — NN Approach (PNNA)Nonrelativistic Three-Body TheoryRelativistic Three-Body EquationsThe Coupled NN — NΔ Approach (CCM)The Reaction NN → NNThe Reaction NN → πdThe Reaction NN → πNNThe Reaction πd → πdThe Reaction πd → πNNπNN Bound States and DibaryonsAppendices: The πN SubsystemThe NN Subsystem Readership: Nuclear physicists, especially medium energy physicists. Keywords:πNN Systems;Three-Body Theory;Coupled NN;Reaction NNReview: “This is a very useful book for both theorists and experimentalists, ideal for a graduate student working in the field.” C Wilkin J Phy. G: Nuclear & Particle Physics
Author: H Garcilazo
Publisher: World Scientific
ISBN: 9814513784
Category :
Languages : en
Pages : 324
Get Book
Book Description
This book gives a comprehensive review of the current status of the theory of the pion-two-nucleon systems at intermediate energies. It also makes an extensive comparison of the theoretical prediction with the corresponding data obtained recently from the major meson factories. Contents:Coupled πNN — NN Approach (PNNA)Nonrelativistic Three-Body TheoryRelativistic Three-Body EquationsThe Coupled NN — NΔ Approach (CCM)The Reaction NN → NNThe Reaction NN → πdThe Reaction NN → πNNThe Reaction πd → πdThe Reaction πd → πNNπNN Bound States and DibaryonsAppendices: The πN SubsystemThe NN Subsystem Readership: Nuclear physicists, especially medium energy physicists. Keywords:πNN Systems;Three-Body Theory;Coupled NN;Reaction NNReview: “This is a very useful book for both theorists and experimentalists, ideal for a graduate student working in the field.” C Wilkin J Phy. G: Nuclear & Particle Physics
Author: Johan A.K. Suykens
Publisher: Springer Science & Business Media
ISBN: 1475724934
Category : Technology & Engineering
Languages : en
Pages : 242
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Book Description
Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear systems. Among these properties are their universal approximation ability, their parallel network structure and the availability of on- and off-line learning methods for the interconnection weights. However, dynamic models that contain neural network architectures might be highly non-linear and difficult to analyse as a result. Artificial Neural Networks for Modelling and Control of Non-Linear Systems investigates the subject from a system theoretical point of view. However the mathematical theory that is required from the reader is limited to matrix calculus, basic analysis, differential equations and basic linear system theory. No preliminary knowledge of neural networks is explicitly required. The book presents both classical and novel network architectures and learning algorithms for modelling and control. Topics include non-linear system identification, neural optimal control, top-down model based neural control design and stability analysis of neural control systems. A major contribution of this book is to introduce NLq Theory as an extension towards modern control theory, in order to analyze and synthesize non-linear systems that contain linear together with static non-linear operators that satisfy a sector condition: neural state space control systems are an example. Moreover, it turns out that NLq Theory is unifying with respect to many problems arising in neural networks, systems and control. Examples show that complex non-linear systems can be modelled and controlled within NLq theory, including mastering chaos. The didactic flavor of this book makes it suitable for use as a text for a course on Neural Networks. In addition, researchers and designers will find many important new techniques, in particular NLq emTheory, that have applications in control theory, system theory, circuit theory and Time Series Analysis.
Author: D Ruan
Publisher: World Scientific
ISBN: 9814547611
Category :
Languages : en
Pages : 420
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Book Description
Following FLINS '94, the 1st International workshop on fuzzy logic and intelligent technologies in nuclear science, FLINS '96 aimed to introduce the principles of intelligent systems and soft computing, such as fuzzy logic, neural networks, genetic algorithms (and any combination of these three), knowledge-based expert systems and complex problem-solving techniques, in nuclear science and industry and in related fields. This volume presents carefully selected papers drawn from more than 20 countries. It covers theoretical aspects of intelligent systems and soft computing, together with their applications in nuclear science and industry. Contents:Fuzzy Algorithmic and Knowledge-Based Decision Support in Nuclear Engineering(H-J Zimmermann)Problem-Solving with Multiple Interdependent Criteria: Better Solutions to Complex Problems (C Carlsson & R Fullér)Functional Modelling for Integration of Human–Software–Hardware in Complex Physical Systems (M Modarres)Applying the Transferable Belief Model to Diagnostic Problems (P Smets)Application of Fuzzy Decision Making to Countermeasure Strategies After a Nuclear Accident (X Liu & D Ruan)A Fuzzy Control Algorithm for a Mobile Robot to Move Pass Obstacles (B-S Moon & J Lee)Experiments of Fuzzy Logic Control on a Nuclear Research Reactor (Z Liu & D Ruan)Intelligent Engineering and Technology for Nuclear Power Plant Operation (P P Wang & X L Gu)Improved Method for Incipient Multiple Fault Diagnosis with Application to Nuclear Power Plant (H-Y Chung et al)A Fuzzy Controller for NPPs (G H Schildt)Expert Environment for the Development of Nuclear Power Plants Failure Diagnosis Systems (P N Guido et al)Integrating Information in a Real-Time Data Visualization System on Nuclear Power Plant (E G Galdoz et al)and other papers Readership: Scientists and researchers in artificial intelligence, neural networks, fuzzy logic, robotics, software engineering, nuclear engineering, industrial chemistry, nuclear physics, mathematical physics, and applied mathematics. keywords:
Author: Abdelhamid Bouchachia
Publisher: Springer
ISBN: 3642238572
Category : Computers
Languages : en
Pages : 441
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Book Description
This book constitutes the proceedings of the International Conference on Adaptive and Intelligent Systems, ICAIS 2011, held in Klagenfurt, Austria, in September 2011. The 36 full papers included in these proceedings together with the abstracts of 4 invited talks, were carefully reviewed and selected from 72 submissions. The contributions are organized under the following topical sections: incremental learning; adaptive system architecture; intelligent system engineering; data mining and pattern recognition; intelligent agents; and computational intelligence.
Author: Igor Aizenberg
Publisher: Springer Science & Business Media
ISBN: 3642203523
Category : Computers
Languages : en
Pages : 273
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Book Description
Complex-Valued Neural Networks have higher functionality, learn faster and generalize better than their real-valued counterparts. This book is devoted to the Multi-Valued Neuron (MVN) and MVN-based neural networks. It contains a comprehensive observation of MVN theory, its learning, and applications. MVN is a complex-valued neuron whose inputs and output are located on the unit circle. Its activation function is a function only of argument (phase) of the weighted sum. MVN derivative-free learning is based on the error-correction rule. A single MVN can learn those input/output mappings that are non-linearly separable in the real domain. Such classical non-linearly separable problems as XOR and Parity n are the simplest that can be learned by a single MVN. Another important advantage of MVN is a proper treatment of the phase information. These properties of MVN become even more remarkable when this neuron is used as a basic one in neural networks. The Multilayer Neural Network based on Multi-Valued Neurons (MLMVN) is an MVN-based feedforward neural network. Its backpropagation learning algorithm is derivative-free and based on the error-correction rule. It does not suffer from the local minima phenomenon. MLMVN outperforms many other machine learning techniques in terms of learning speed, network complexity and generalization capability when solving both benchmark and real-world classification and prediction problems. Another interesting application of MVN is its use as a basic neuron in multi-state associative memories. The book is addressed to those readers who develop theoretical fundamentals of neural networks and use neural networks for solving various real-world problems. It should also be very suitable for Ph.D. and graduate students pursuing their degrees in computational intelligence.
Author: Amol C. Goje
Publisher: I. K. International Pvt Ltd
ISBN: 818986663X
Category : Computers
Languages : en
Pages : 358
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Book Description
Information Technology skill standards provide a common language for industry and education. It provides increased portability depending on attitude and performance of the professionals. The industry recognizes IT education programs that build competency among the students to perform the best in the new emerging trends in Information Technology. like Human Computer Interactions, Biometrics, Bioinformatics, Signal Processing. So this conference is organized to bring together leading academicians, industry experts and researchers in the area of emerging trends in Information Technology and facilitate personal interaction and discussions on various aspects of Information Technology. It also aims to provide a platform for the post-graduate students and research students to express their views about the emerging trends in Information Technology with interaction and exchange of ideas among the researchers and students from allover India. With this focus Technical/research papers are invitedfrom the students of MCA/ M.Sc (CS) / M.Sc.(IT)/ MCM and research students on the following topics. Biometrics Data Communication and Security Digital Image and Image Processing Human Computer Interaction Internet Technologies and Service Oriented Architecture Artificial Intelligence and Its Applications
Author: Ying Liu
Publisher: Springer Science & Business Media
ISBN: 3540782966
Category : Computers
Languages : en
Pages : 387
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Book Description
Computational Intelligence (CI) has emerged as a rapidly growing field over the past decade. This volume reports the exploration of CI frontiers with an emphasis on a broad spectrum of real-world applications. Such a collection of chapters has presented the state-of-the-art of CI applications in industry and will be an essential resource for professionals and researchers who wish to learn and spot the opportunities in applying CI techniques to their particular problems.
Author: Bert Kappen
Publisher: World Scientific
ISBN: 9814545376
Category :
Languages : en
Pages : 226
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Book Description
After the explosion of research on neural networks in the eighties, the nineties have seen a boom in industrial applications of neural networks. In contrast to the large output of publications in international neural network journals, which reflects the increase in neural network research, the large number of successful applications are less accessible. To make a survey of successful applications in industry in Europe, a project called SIENA was initiated with support from the European Community. The aim of SIENA was to assess the business impact of neural networks. Data were collected on both the supplier side and the end-user side of the market. In addition, case studies of successful 'money-making' applications using neural networks were gathered. This book contains detailed descriptions of some of the applications.
Author: Quan-Lin Li
Publisher: Springer Nature
ISBN: 981150864X
Category : Computers
Languages : en
Pages : 497
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Book Description
This book is dedicated to Jinhua Cao on the occasion of his 80th birthday. Jinhua Cao is one of the most famous reliability theorists. His main contributions include: published over 100 influential scientific papers; published an interesting reliability book in Chinese in 1986, which has greatly influenced the reliability of education, academic research and engineering applications in China; initiated and organized Reliability Professional Society of China (the first part of Operations Research Society of China) since 1981. The high admiration that Professor Cao enjoys in the reliability community all over the world was witnessed by the enthusiastic response of each contributor in this book. The contributors are leading researchers with diverse research perspectives. The research areas of the book iclude a broad range of topics related to reliability models, queueing theory, manufacturing systems, supply chain finance, risk management, Markov decision processes, blockchain and so forth. The book consists of a brief Preface describing the main achievements of Professor Cao; followed by congratulations from Professors Way Kuo and Wei Wayne Li, and by Operations Research Society of China, and Reliability Professional Society of China; and further followed by 25 articles roughly grouped together. Most of the articles are written in a style understandable to a wide audience. This book is useful to anyone interested in recent developments in reliability, network security, system safety, and their stochastic modeling and analysis.
Author: Cliff Wang
Publisher: Springer Nature
ISBN: 3031426371
Category : Technology & Engineering
Languages : en
Pages : 252
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Book Description
The rapid growth and reliance on cyber systems have permeated our society, government, and military which is demonstrated in this book. The authors discuss how AI-powered cyber systems are designed to protect against cyber threats and ensure the security and reliability of digital systems using artificial intelligence (AI) technologies. As AI becomes more integrated into various aspects of our lives, the need for reliable and trustworthy AI systems becomes increasingly important. This book is an introduction to all of the above-mentioned areas in the context of AI Embedded Assurance for Cyber Systems. This book has three themes. First, the AI/ML for digital forensics theme focuses on developing AI and ML powered forensic tools, techniques, software, and hardware. Second, the AI/ML for cyber physical system theme describes that AI/ML plays an enabling role to boost the development of cyber physical systems (CPS), especially in strengthening the security and privacy of CPS. Third, the AI/ML for cyber analysis theme focuses on using AI/ML to analyze tons of data in a timely manner and identify many complex threat patterns. This book is designed for undergraduates, graduate students in computer science and researchers in an interdisciplinary area of cyber forensics and AI embedded security applications. It is also useful for practitioners who would like to adopt AIs to solve cyber security problems.
