Neural Networks And Qualitative Physics

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Neural Networks and Qualitative Physics

Jean-Pierre Aubin
Neural Networks and Qualitative Physics Book PDF

Author : Jean-Pierre Aubin
Publisher : Cambridge University Press
Page : 306 pages
File Size : 41,5 Mb
Release : 1996-03-29
Category : Computers
ISBN : 0521445329

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Neural Networks and Qualitative Physics by Jean-Pierre Aubin Pdf

This book is devoted to some mathematical methods that arise in two domains of artificial intelligence: neural networks and qualitative physics. Professor Aubin makes use of control and viability theory in neural networks and cognitive systems, regarded as dynamical systems controlled by synaptic matrices, and set-valued analysis that plays a natural and crucial role in qualitative analysis and simulation. This allows many examples of neural networks to be presented in a unified way. In addition, several results on the control of linear and nonlinear systems are used to obtain a "learning algorithm" of pattern classification problems, such as the back-propagation formula, as well as learning algorithms of feedback regulation laws of solutions to control systems subject to state constraints.

Qualitative Analysis and Control of Complex Neural Networks with Delays

Zhanshan Wang,Zhenwei Liu,Chengde Zheng
Qualitative Analysis and Control of Complex Neural Networks with Delays Book PDF

Author : Zhanshan Wang,Zhenwei Liu,Chengde Zheng
Publisher : Springer
Page : 388 pages
File Size : 50,6 Mb
Release : 2015-07-18
Category : Technology & Engineering
ISBN : 9783662474846

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Qualitative Analysis and Control of Complex Neural Networks with Delays by Zhanshan Wang,Zhenwei Liu,Chengde Zheng Pdf

This book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications in automation control and electrical engineering. The redefined concept of stability, synchronization and consensus are adopted to provide a better explanation of the complex neural network. Researchers in the fields of dynamical systems, computer science, electrical engineering and mathematics will benefit from the discussions on complex systems. The book will also help readers to better understand the theory behind the control technique and its design.

Deep Learning For Physics Research

Martin Erdmann,Jonas Glombitza,Gregor Kasieczka,Uwe Klemradt
Deep Learning For Physics Research Book PDF

Author : Martin Erdmann,Jonas Glombitza,Gregor Kasieczka,Uwe Klemradt
Publisher : World Scientific
Page : 340 pages
File Size : 46,6 Mb
Release : 2021-06-25
Category : Science
ISBN : 9789811237478

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Deep Learning For Physics Research by Martin Erdmann,Jonas Glombitza,Gregor Kasieczka,Uwe Klemradt Pdf

A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research.This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter optimization is sufficient to jump-start deep learning. Adopting a pragmatic approach, basic and advanced applications in physics research are described. Also offered are simple hands-on exercises for implementing deep networks for which python code and training data can be downloaded.

Qualitative Analysis and Synthesis of Recurrent Neural Networks

Anthony Michel,Derong Liu
Qualitative Analysis and Synthesis of Recurrent Neural Networks Book PDF

Author : Anthony Michel,Derong Liu
Publisher : CRC Press
Page : 504 pages
File Size : 46,5 Mb
Release : 2001-12-04
Category : Mathematics
ISBN : 9781482275780

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Qualitative Analysis and Synthesis of Recurrent Neural Networks by Anthony Michel,Derong Liu Pdf

"Analyzes the behavior, design, and implementation of artificial recurrent neural networks. Offers methods of synthesis for associative memories. Evaluates the qualitative properties and limitations of neural networks. Contains practical applications for optimal system performance."

Neural Networks: From Biology To High Energy Physics - Proceedings Of The Third Workshop

Amit Daniel J,Denby B,Giudice Paolo Del
Neural Networks From Biology To High Energy Physics Proceedings Of The Third Workshop Book PDF

Author : Amit Daniel J,Denby B,Giudice Paolo Del
Publisher : World Scientific
Page : 308 pages
File Size : 41,8 Mb
Release : 1995-10-18
Category : Electronic
ISBN : 9789814548403

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Neural Networks: From Biology To High Energy Physics - Proceedings Of The Third Workshop by Amit Daniel J,Denby B,Giudice Paolo Del Pdf

The papers appearing in this proceedings volume cover a broad range of subjects, owing to the highly cross-disciplinary character of the workshop, and include: experiments and models concerning the dynamics of the neural activity in the cortex (DMS experiments, attractor dynamics in the cortex, spontaneous activity…); hippocampus, space and memory; theoretical advances in neural network modeling; information processing in neural networks; applications of neural networks to experimental physics, particularly to high energy physics; digital and analog hardware implementations of neural networks; etc.

Statistical Field Theory for Neural Networks

Moritz Helias,David Dahmen
Statistical Field Theory for Neural Networks Book PDF

Author : Moritz Helias,David Dahmen
Publisher : Springer Nature
Page : 203 pages
File Size : 44,5 Mb
Release : 2020-08-20
Category : Science
ISBN : 9783030464448

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Statistical Field Theory for Neural Networks by Moritz Helias,David Dahmen Pdf

This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks. These powerful analytical techniques, which are well established in other fields of physics, are the basis of current developments and offer solutions to pressing open problems in theoretical neuroscience and also machine learning. They enable a systematic and quantitative understanding of the dynamics in recurrent and stochastic neuronal networks. This book is intended for physicists, mathematicians, and computer scientists and it is designed for self-study by researchers who want to enter the field or as the main text for a one semester course at advanced undergraduate or graduate level. The theoretical concepts presented in this book are systematically developed from the very beginning, which only requires basic knowledge of analysis and linear algebra.

Complex Systems

Georgi M. Dimirovski
Complex Systems Book PDF

Author : Georgi M. Dimirovski
Publisher : Springer
Page : 652 pages
File Size : 46,5 Mb
Release : 2016-05-19
Category : Technology & Engineering
ISBN : 9783319288604

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Complex Systems by Georgi M. Dimirovski Pdf

This book gives a wide-ranging description of the many facets of complex dynamic networks and systems within an infrastructure provided by integrated control and supervision: envisioning, design, experimental exploration, and implementation. The theoretical contributions and the case studies presented can reach control goals beyond those of stabilization and output regulation or even of adaptive control. Reporting on work of the Control of Complex Systems (COSY) research program, Complex Systems follows from and expands upon an earlier collection: Control of Complex Systems by introducing novel theoretical techniques for hard-to-control networks and systems. The major common feature of all the superficially diverse contributions encompassed by this book is that of spotting and exploiting possible areas of mutual reinforcement between control, computing and communications. These help readers to achieve not only robust stable plant system operation but also properties such as collective adaptivity, integrity and survivability at the same time retaining desired performance quality. Applications in the individual chapters are drawn from: • the general implementation of model-based diagnosis and systems engineering in medical technology, in communication, and in power and airport networks; • the creation of biologically inspired control brains and safety-critical human–machine systems, • process-industrial uses; • biped robots; • large space structures and unmanned aerial vehicles; and • precision servomechanisms and other advanced technologies. Complex Systems provides researchers from engineering, applied mathematics and computer science backgrounds with innovative theoretical and practical insights into the state-of-the-art of complex networks and systems research. It employs physical implementations and extensive computer simulations. Graduate students specializing in complex-systems research will also learn much from this collection./pp

Neural Networks

Anonim
Neural Networks Book PDF

Author : Anonim
Publisher : Unknown
Page : 30 pages
File Size : 52,8 Mb
Release : 2024-06-30
Category : Electronic
ISBN : OCLC:1023342897

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Neural Networks by Anonim Pdf

This book provides the first accessible introduction to neural network analysis as a methodological strategy for social scientists. The author details numerous studies and examples which illustrate the advantages of neural network analysis over other quantitative and modelling methods in widespread use. Methods are presented in an accessible style for readers who do not have a background in computer science. The book provides a history of neural network methods, a substantial review of the literature, detailed applications, coverage of the most common alternative models and examples of two leading software packages for neural network analysis.

Traffic Networks as Information Systems

Jean-Pierre Aubin,Anya Désilles
Traffic Networks as Information Systems Book PDF

Author : Jean-Pierre Aubin,Anya Désilles
Publisher : Springer
Page : 246 pages
File Size : 40,9 Mb
Release : 2016-07-13
Category : Technology & Engineering
ISBN : 9783642547713

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Traffic Networks as Information Systems by Jean-Pierre Aubin,Anya Désilles Pdf

This authored monograph covers a viability to approach to traffic management by advising to vehicles circulated on the network the velocity they should follow for satisfying global traffic conditions;. It presents an investigation of three structural innovations: The objective is to broadcast at each instant and at each position the advised celerity to vehicles, which could be read by auxiliary speedometers or used by cruise control devices. Namely, 1. Construct regulation feedback providing at each time and position advised velocities (celerities) for minimizing congestion or other requirements. 2. Taking into account traffic constraints of different type, the first one being to remain on the roads, to stop at junctions, etc. 3. Use information provided by the probe vehicles equipped with GPS to the traffic regulator; 4. Use other global traffic measures of vehicles provided by different types of sensors; These results are based on convex analysis, intertemporal optimization and viability theory as mathematical tools as well as viability algorithms on the computing side, instead of conventional techniques such as partial differential equations and their resolution by finite difference or finite elements algorithms. The target audience primarily covers researchers and mathematically oriented engineers but the book may also be beneficial for graduate students.

Neural Networks Theory

Alexander I. Galushkin
Neural Networks Theory Book PDF

Author : Alexander I. Galushkin
Publisher : Springer Science & Business Media
Page : 396 pages
File Size : 49,7 Mb
Release : 2007-10-29
Category : Technology & Engineering
ISBN : 9783540481256

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Neural Networks Theory by Alexander I. Galushkin Pdf

This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory, nonlinear dynamics and optimization. It details more than 40 years of Soviet and Russian neural network research and presents a systematized methodology of neural networks synthesis. The theory is expansive: covering not just traditional topics such as network architecture but also neural continua in function spaces as well.

Industrial Applications of Neural Networks

Fran‡oise Fogelman-Souli‚,Patrick Gallinari
Industrial Applications of Neural Networks Book PDF

Author : Fran‡oise Fogelman-Souli‚,Patrick Gallinari
Publisher : World Scientific
Page : 492 pages
File Size : 52,7 Mb
Release : 1998
Category : Computers
ISBN : 981023175X

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Industrial Applications of Neural Networks by Fran‡oise Fogelman-Souli‚,Patrick Gallinari Pdf

This book is a collection of real-world applications of neural networks, which were presented at the ICANN '95 conference of the European Neural Network Society. The contributions have been carefully selected by the Program Committee under three criteria: soundness of the technical approach, relevance for the application sector, and quality of the results obtained.The book covers all major areas of industrial and service activities: process engineering, control and monitoring, technical diagnosis and nondestructive testing, power systems, robotics, transportation, telecommunications, remote sensing, banking, finance and insurance, forecasting, document processing, and medicine. It thus represents one of the most comprehensive existing surveys of the applicability and use of neural networks in industry and services.

Formal Descriptions of Developing Systems

James Nation,Irina Trofimova,John D. Rand,William Sulis
Formal Descriptions of Developing Systems Book PDF

Author : James Nation,Irina Trofimova,John D. Rand,William Sulis
Publisher : Springer Science & Business Media
Page : 306 pages
File Size : 44,8 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9789401000642

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Formal Descriptions of Developing Systems by James Nation,Irina Trofimova,John D. Rand,William Sulis Pdf

A cutting-edge survey of formal methods directed specifically at dealing with the deep mathematical problems engendered by the study of developing systems, in particular dealing with developing phase spaces, changing components, structures and functionalities, and the problem of emergence. Several papers deal with the modelling of particular experimental situations in population biology, economics and plant and muscle developments in addition to purely theoretical approaches. Novel approaches include differential inclusions and viability theory, growth tensors, archetypal dynamics, ensembles with variable structures, and complex system models. The papers represent the work of theoreticians and experimental biologists, psychologists and economists. The areas covered embrace complex systems, the development of artificial life, mathematics, computer science, biology and psychology.

Advances in Neural Networks - ISNN 2008

Fuchun Sun,Jianwei Zhang,Jinde Cao,Wen Yu
Advances in Neural Networks ISNN 2008 Book PDF

Author : Fuchun Sun,Jianwei Zhang,Jinde Cao,Wen Yu
Publisher : Springer
Page : 846 pages
File Size : 40,8 Mb
Release : 2008-09-20
Category : Computers
ISBN : 9783540877349

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Advances in Neural Networks - ISNN 2008 by Fuchun Sun,Jianwei Zhang,Jinde Cao,Wen Yu Pdf

The two volume set LNCS 5263/5264 constitutes the refereed proceedings of the 5th International Symposium on Neural Networks, ISNN 2008, held in Beijing, China in September 2008. The 192 revised papers presented were carefully reviewed and selected from a total of 522 submissions. The papers are organized in topical sections on computational neuroscience; cognitive science; mathematical modeling of neural systems; stability and nonlinear analysis; feedforward and fuzzy neural networks; probabilistic methods; supervised learning; unsupervised learning; support vector machine and kernel methods; hybrid optimisation algorithms; machine learning and data mining; intelligent control and robotics; pattern recognition; audio image processinc and computer vision; fault diagnosis; applications and implementations; applications of neural networks in electronic engineering; cellular neural networks and advanced control with neural networks; nature inspired methods of high-dimensional discrete data analysis; pattern recognition and information processing using neural networks.

Recent Advances in Qualitative Physics

Boi Faltings,Peter Struss
Recent Advances in Qualitative Physics Book PDF

Author : Boi Faltings,Peter Struss
Publisher : MIT Press
Page : 484 pages
File Size : 52,8 Mb
Release : 1992
Category : Computers
ISBN : 0262061422

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Recent Advances in Qualitative Physics by Boi Faltings,Peter Struss Pdf

These twenty-eight contributions report advances in one of the most active research areas in artificial intellgence. Qualitative modeling techniques are an essential part of building second generation knowledge-based systems. This book provides a timely overview of the field while also giving some indications about applications that appear to be feasible now or in the near future. Chapters are organized into sections covering modeling and simulation, ontologies, computational issues, and qualitative analysis. Modeling a physical system in order to simulate it or solve particular problems regarding the system is an important motivation of qualitative physics, involving formal procedures and concepts. The chapters in the section on modeling address the problem of how to set up and structure qualitative models, particularly for use in simulation. Ontology, or the science of being, is the basis for all modeling. Accordingly, chapters on ontologies discuss problems fundamental for finding representational formalism and inference mechanisms appropriate for different aspects of reasoning about physical systems. Computational issues arising from attempts to turn qualitative theories into practical software are then taken up. In addition to simulation and modeling, qualitative physics can be used to solve particular problems dealing with physical systems, and the concluding chapters present techniques for tasks ranging from the analysis of behavior to conceptual design.

Statistical Mechanics of Neural Networks

Haiping Huang
Statistical Mechanics of Neural Networks Book PDF

Author : Haiping Huang
Publisher : Springer Nature
Page : 302 pages
File Size : 55,5 Mb
Release : 2022-01-04
Category : Science
ISBN : 9789811675706

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Statistical Mechanics of Neural Networks by Haiping Huang Pdf

This book highlights a comprehensive introduction to the fundamental statistical mechanics underneath the inner workings of neural networks. The book discusses in details important concepts and techniques including the cavity method, the mean-field theory, replica techniques, the Nishimori condition, variational methods, the dynamical mean-field theory, unsupervised learning, associative memory models, perceptron models, the chaos theory of recurrent neural networks, and eigen-spectrums of neural networks, walking new learners through the theories and must-have skillsets to understand and use neural networks. The book focuses on quantitative frameworks of neural network models where the underlying mechanisms can be precisely isolated by physics of mathematical beauty and theoretical predictions. It is a good reference for students, researchers, and practitioners in the area of neural networks.