From Thermal Field Theory to Neural Networks

From Thermal Field Theory to Neural Networks
Author: Tanguy Altherr
Publisher: World Scientific
Total Pages: 105
Release: 1996
Genre: Science
ISBN: 9810226101

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.

Thermal Field Theories

Thermal Field Theories
Author: H. Ezawa
Publisher: Elsevier
Total Pages: 625
Release: 2012-12-02
Genre: Science
ISBN: 0444598812

Theories of quantum fields at non-zero temperature have been steadily developed for well over a decade. In 1988, as a result of the increased demand for communication among theorists working in different fields ranging from condensed matter physics to high energy physics and astrophysics, the first international meeting was organized (the proceedings of which have been published in Physica A 158, 1989). This 2nd workshop covers similar fields, namely equilibrium and non-equilibrium statistical physics, quantum optics, high-temperature gauge-field theories, string theories, statistical theories of gravitation and cosmology. The resulting proceedings reflect the progress made in the respective fields, identify the major common problems and suggest possible directions for their solutions.

Quantum Chromodynamics: Collisions, Confinement And Chaos - Proceedings Of The Workshop

Quantum Chromodynamics: Collisions, Confinement And Chaos - Proceedings Of The Workshop
Author: Herbert Martin Fried
Publisher: World Scientific
Total Pages: 428
Release: 1997-04-01
Genre:
ISBN: 9814546534

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.

International Workshop on Hadron Physics 2000

International Workshop on Hadron Physics 2000
Author: Fernando Silveira Navarra
Publisher: World Scientific
Total Pages: 516
Release: 2001
Genre: Science
ISBN: 9789810245108

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.

Hadron Physics 2000: Topics On The Structure And Interaction Of Hadronic Systems, Procs Of The Intl Workshop

Hadron Physics 2000: Topics On The Structure And Interaction Of Hadronic Systems, Procs Of The Intl Workshop
Author: Gastao Krein
Publisher: World Scientific
Total Pages: 508
Release: 2001-04-30
Genre: Science
ISBN: 9814491810

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.

Statistical Mechanics of Neural Networks

Statistical Mechanics of Neural Networks
Author: Haiping Huang
Publisher: Springer Nature
Total Pages: 302
Release: 2022-01-04
Genre: Science
ISBN: 9811675708

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.

Introduction To The Theory Of Neural Computation

Introduction To The Theory Of Neural Computation
Author: John A. Hertz
Publisher: CRC Press
Total Pages: 289
Release: 2018-03-08
Genre: Science
ISBN: 0429979290

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.

Physical Models of Neural Networks

Physical Models of Neural Networks
Author: Tam s Geszti
Publisher: World Scientific
Total Pages: 158
Release: 1990
Genre: Computers
ISBN: 9789810200121

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.