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From Thermal Field Theory To Neural Networks
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Book Synopsis From Thermal Field Theory To Neural Networks: A Day To Remember Tanguy Altherr - Cern4 November 1994 by : Gabriele Veneziano
Download or read book From Thermal Field Theory To Neural Networks: A Day To Remember Tanguy Altherr - Cern4 November 1994 written by Gabriele Veneziano and published by World Scientific. This book was released on 1996-01-15 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tanguy Altherr was a Fellow in the Theory Division at CERN, on leave from LAPP (CNRS) Annecy. At the time of his accidental death in July 1994, he was only 31.A meeting was organized at CERN, covering the various aspects of his scientific interests: thermal field theory and its applications to hot or dense media, neural networks and its applications to high energy data analysis. Speakers were among his closest collaborators and friends.
Book Synopsis From Thermal Field Theory to Neural Networks by : Tanguy Altherr
Download or read book From Thermal Field Theory to Neural Networks written by Tanguy Altherr and published by World Scientific. This book was released on 1996 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tanguy Altherr was a Fellow in the Theory Division at CERN, on leave from LAPP (CNRS) Annecy. At the time of his accidental death in July 1994, he was only 31.A meeting was organized at CERN, covering the various aspects of his scientific interests: thermal field theory and its applications to hot or dense media, neural networks and its applications to high energy data analysis. Speakers were among his closest collaborators and friends.
Book Synopsis Statistical Field Theory for Neural Networks by : Moritz Helias
Download or read book Statistical Field Theory for Neural Networks written by Moritz Helias and published by Springer Nature. This book was released on 2020-08-20 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Introduction To The Theory Of Neural Computation by : John A. Hertz
Download or read book Introduction To The Theory Of Neural Computation written by John A. Hertz and published by CRC Press. This book was released on 2018-03-08 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural network applications in a variety of problems of both theoretical and practical interest.
Book Synopsis Quantum Chromodynamics: Collisions, Confinement And Chaos - Proceedings Of The Workshop by : Fried Herbert Martin
Download or read book Quantum Chromodynamics: Collisions, Confinement And Chaos - Proceedings Of The Workshop written by Fried Herbert Martin and published by World Scientific. This book was released on 1997-04-01 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the week of 3-8 June 1996, approximately 83 theoretical (and 2 experimental) physicists interested in the current problems of Quantum Chromodynamics (QCD) gathered at the American University of Paris, France, to present and discuss a total of 59 papers on Collisions, Confinement, and Chaos in QCD. Each of these three subfields filled at least two half-day sessions; and another four half-day sessions were devoted to miscellaneous and interesting papers on Quantum Field Theory (QFT), and especially on the proper construction of high-energy scattering amplitudes.
Book Synopsis Neural Network Modeling by : P. S. Neelakanta
Download or read book Neural Network Modeling written by P. S. Neelakanta and published by CRC Press. This book was released on 2018-02-06 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network modeling. It brings together neurobiologists and the engineers who design intelligent automata to understand the physics of collective behavior pertinent to neural elements and the self-control aspects of neurocybernetics. The theoretical perspectives and explanatory projections portray the most current information in the field, some of which counters certain conventional concepts in the visualization of neuronal interactions.
Book Synopsis Hadron Physics 2000: Topics On The Structure And Interaction Of Hadronic Systems, Procs Of The Intl Workshop by : Gastao Krein
Download or read book Hadron Physics 2000: Topics On The Structure And Interaction Of Hadronic Systems, Procs Of The Intl Workshop written by Gastao Krein and published by World Scientific. This book was released on 2001-04-30 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a recent survey of the advances in hadron physics. The main topics are nonperturbative high energy processes in QCD, deep inelastic scattering and perturbative QCD, RHIC and quark-gluon plasma physics and effective theories for low energy QCD.The book contains four series of lectures written in a pedagogical style and a number of short papers on the main subject. They will benefit researchers who want to be familiar with the frontiers of hadron physics and its connection with the large experimental programs under development in laboratories such as the Relativistic Heavy Ion Collider (RHIC) and the Thomas Jefferson National Laboratory.
Book Synopsis Statistical Mechanics of Neural Networks by : Haiping Huang
Download or read book Statistical Mechanics of Neural Networks written by Haiping Huang and published by Springer Nature. This book was released on 2022-01-04 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Statistical Mechanics of Neural Networks by : Haiping Huang
Download or read book Statistical Mechanics of Neural Networks written by Haiping Huang and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Neural Networks written by Berndt Müller and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief overview of the neural structure of the brain and the history of neural-network modeling introduces to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications. - The second part covers subjects like statistical physics of spin glasses, the mean-field theory of the Hopfield model, and the "space of interactions" approach to the storage capacity of neural networks. - The final part discusses nine programs with practical demonstrations of neural-network models. The software and source code in C are on a 3 1/2" MS-DOS diskette can be run with Microsoft, Borland, Turbo-C, or compatible compilers.
Book Synopsis Physical Models of Neural Networks by : Tam s Geszti
Download or read book Physical Models of Neural Networks written by Tam s Geszti and published by World Scientific. This book was released on 1990 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This lecture note volume is mainly about the recent development that connected neural network modeling to the theoretical physics of disordered systems. It gives a detailed account of the (Little-) Hopfield model and its ramifications concerning non-orthogonal and hierarchical patterns, short-term memory, time sequences, and dynamical learning algorithms. It also offers a brief introduction to computation in layered feed-forward networks, trained by back-propagation and other methods. Kohonen's self-organizing feature map algorithm is discussed in detail as a physical ordering process. The book offers a minimum complexity guide through the often cumbersome theories developed around the Hopfield model. The physical model for the Kohonen self-organizing feature map algorithm is new, enabling the reader to better understand how and why this fascinating and somewhat mysterious tool works.
Book Synopsis Directory of Published Proceedings by :
Download or read book Directory of Published Proceedings written by and published by . This book was released on 1998 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Jamming and Glass Transitions by : Ada Altieri
Download or read book Jamming and Glass Transitions written by Ada Altieri and published by Springer Nature. This book was released on 2019-08-28 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work described in this book originates from a major effort to develop a fundamental theory of the glass and the jamming transitions. The first chapters guide the reader through the phenomenology of supercooled liquids and structural glasses and provide the tools to analyze the most frequently used models able to predict the complex behavior of such systems. A fundamental outcome is a detailed theoretical derivation of an effective thermodynamic potential, along with the study of anomalous vibrational properties of sphere systems. The interested reader can find in these pages a clear and deep analysis of mean-field models as well as the description of advanced beyond-mean-field perturbative expansions. To investigate important second-order phase transitions in lattice models, the last part of the book proposes an innovative theoretical approach, based on a multi-layer construction. The different methods developed in this thesis shed new light on important connections among constraint satisfaction problems, jamming and critical phenomena in complex systems, and lay part of the groundwork for a complete theory of amorphous solids.
Book Synopsis Methods and Applications for Modeling and Simulation of Complex Systems by : Liang Li
Download or read book Methods and Applications for Modeling and Simulation of Complex Systems written by Liang Li and published by Springer. This book was released on 2018-10-17 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the 18th Asia Simulation Conference, AsiaSim 2018, held in Kyoto, Japan, in August 2018. The 45 revised full papers presented in this volume were carefully reviewed and selected from 90 submissions. The papers are organized in topical sections on modeling and simulation technology; soft computing and machine learning; high performance computing and cloud computing; simulation technology for industry; simulation technology for intelligent society; simulation of instrumentation and control application; computational mathematics and computational science; flow simulation; visualization and computer vision to support simulation.
Book Synopsis Scientific and Technical Aerospace Reports by :
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
Book Synopsis CERN Courier by : European Organization for Nuclear Research
Download or read book CERN Courier written by European Organization for Nuclear Research and published by . This book was released on 1996 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This journal is devoted to the latest research on physics, publishing articles on everything from elementary particle behavior to black holes and the history of the universe.
Book Synopsis Models of Neural Networks I by : Eytan Domany
Download or read book Models of Neural Networks I written by Eytan Domany and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the great intellectual challenges for the next few decades is the question of brain organization. What is the basic mechanism for storage of memory? What are the processes that serve as the interphase between the basically chemical processes of the body and the very specific and nonstatistical operations in the brain? Above all, how is concept formation achieved in the human brain? I wonder whether the spirit of the physics that will be involved in these studies will not be akin to that which moved the founders of the "rational foundation of thermodynamics". C. N. Yang! 10 The human brain is said to have roughly 10 neurons connected through about 14 10 synapses. Each neuron is itself a complex device which compares and integrates incoming electrical signals and relays a nonlinear response to other neurons. The brain certainly exceeds in complexity any system which physicists have studied in the past. Nevertheless, there do exist many analogies of the brain to simpler physical systems. We have witnessed during the last decade some surprising contributions of physics to the study of the brain. The most significant parallel between biological brains and many physical systems is that both are made of many tightly interacting components.
