Statistical Mechanics of Learning

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Publisher : Cambridge University Press
ISBN 13 : 9780521774796
Total Pages : 346 pages
Book Rating : 4.99/5 ( download)

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Book Synopsis Statistical Mechanics of Learning by : A. Engel

Download or read book Statistical Mechanics of Learning written by A. Engel and published by Cambridge University Press. This book was released on 2001-03-29 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning is one of the things that humans do naturally, and it has always been a challenge for us to understand the process. Nowadays this challenge has another dimension as we try to build machines that are able to learn and to undertake tasks such as datamining, image processing and pattern recognition. We can formulate a simple framework, artificial neural networks, in which learning from examples may be described and understood. The contribution to this subject made over the last decade by researchers applying the techniques of statistical mechanics is the subject of this book. The authors provide a coherent account of various important concepts and techniques that are currently only found scattered in papers, supplement this with background material in mathematics and physics and include many examples and exercises to make a book that can be used with courses, or for self-teaching, or as a handy reference.

Statistical Mechanics of Learning

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Author :
Publisher : Cambridge University Press
ISBN 13 : 9780521773072
Total Pages : 342 pages
Book Rating : 4.75/5 ( download)

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Book Synopsis Statistical Mechanics of Learning by : A. Engel

Download or read book Statistical Mechanics of Learning written by A. Engel and published by Cambridge University Press. This book was released on 2001-03-29 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: The effort to build machines that are able to learn and undertake tasks such as datamining, image processing and pattern recognition has led to the development of artificial neural networks in which learning from examples may be described and understood. The contribution to this subject made over the past decade by researchers applying the techniques of statistical mechanics is the subject of this book. The authors provide a coherent account of various important concepts and techniques that are currently only found scattered in papers, supplement this with background material in mathematics and physics, and include many examples and exercises.

Models of Neural Networks III

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Publisher : Springer Science & Business Media
ISBN 13 : 9780387943688
Total Pages : 336 pages
Book Rating : 4.84/5 ( download)

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Book Synopsis Models of Neural Networks III by : Eytan Domany

Download or read book Models of Neural Networks III written by Eytan Domany and published by Springer Science & Business Media. This book was released on 1996 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a collection of articles by leading researchers in neural networks. This work focuses on data storage and retrieval, and the recognition of handwriting.

Advanced Statistical Mechanics

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Publisher : Oxford University Press
ISBN 13 : 0199556636
Total Pages : 641 pages
Book Rating : 4.32/5 ( download)

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Book Synopsis Advanced Statistical Mechanics by : Barry M McCoy

Download or read book Advanced Statistical Mechanics written by Barry M McCoy and published by Oxford University Press. This book was released on 2010 with total page 641 pages. Available in PDF, EPUB and Kindle. Book excerpt: McCoy presents the advances made in statistical mechanics over the last 50 years, including mathematical theorems on order and phase transitions, numerical and series computations of phase diagrams and solutions for important solvable models such as Ising and 8 vortex.

Statistical Mechanics

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Publisher : Elsevier
ISBN 13 : 1483186881
Total Pages : 542 pages
Book Rating : 4.87/5 ( download)

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Book Synopsis Statistical Mechanics by : R.K. Pathria

Download or read book Statistical Mechanics written by R.K. Pathria and published by Elsevier. This book was released on 2017-02-21 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Mechanics discusses the fundamental concepts involved in understanding the physical properties of matter in bulk on the basis of the dynamical behavior of its microscopic constituents. The book emphasizes the equilibrium states of physical systems. The text first details the statistical basis of thermodynamics, and then proceeds to discussing the elements of ensemble theory. The next two chapters cover the canonical and grand canonical ensemble. Chapter 5 deals with the formulation of quantum statistics, while Chapter 6 talks about the theory of simple gases. Chapters 7 and 8 examine the ideal Bose and Fermi systems. In the next three chapters, the book covers the statistical mechanics of interacting systems, which includes the method of cluster expansions, pseudopotentials, and quantized fields. Chapter 12 discusses the theory of phase transitions, while Chapter 13 discusses fluctuations. The book will be of great use to researchers and practitioners from wide array of disciplines, such as physics, chemistry, and engineering.

Statistical Mechanics: Algorithms and Computations

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Publisher : Oxford University Press
ISBN 13 : 0198515367
Total Pages : 355 pages
Book Rating : 4.64/5 ( download)

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Book Synopsis Statistical Mechanics: Algorithms and Computations by : Werner Krauth

Download or read book Statistical Mechanics: Algorithms and Computations written by Werner Krauth and published by Oxford University Press. This book was released on 2006-09-14 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM contains more than one hundred pseudocode programs and close to 300 figures, line drawings, and tables contained in the book.

The Statistical Physics of Data Assimilation and Machine Learning

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Publisher : Cambridge University Press
ISBN 13 : 1316519635
Total Pages : 207 pages
Book Rating : 4.39/5 ( download)

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Book Synopsis The Statistical Physics of Data Assimilation and Machine Learning by : Henry D. I. Abarbanel

Download or read book The Statistical Physics of Data Assimilation and Machine Learning written by Henry D. I. Abarbanel and published by Cambridge University Press. This book was released on 2022-02-17 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theory of data assimilation and machine learning is introduced in an accessible manner for undergraduate and graduate students.

Introduction to Statistical Physics

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Publisher : CRC Press
ISBN 13 : 1420055763
Total Pages : 305 pages
Book Rating : 4.64/5 ( download)

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Book Synopsis Introduction to Statistical Physics by : Kerson Huang

Download or read book Introduction to Statistical Physics written by Kerson Huang and published by CRC Press. This book was released on 2001-09-20 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical physics is a core component of most undergraduate (and some post-graduate) physics degree courses. It is primarily concerned with the behavior of matter in bulk-from boiling water to the superconductivity of metals. Ultimately, it seeks to uncover the laws governing random processes, such as the snow on your TV screen. This essential new textbook guides the reader quickly and critically through a statistical view of the physical world, including a wide range of physical applications to illustrate the methodology. It moves from basic examples to more advanced topics, such as broken symmetry and the Bose-Einstein equation. To accompany the text, the author, a renowned expert in the field, has written a Solutions Manual/Instructor's Guide, available free of charge to lecturers who adopt this book for their courses. Introduction to Statistical Physics will appeal to students and researchers in physics, applied mathematics and statistics.

Statistical Mechanics for Chemistry and Materials Science

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Publisher : CRC Press
ISBN 13 : 0429833601
Total Pages : 513 pages
Book Rating : 4.01/5 ( download)

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Book Synopsis Statistical Mechanics for Chemistry and Materials Science by : Biman Bagchi

Download or read book Statistical Mechanics for Chemistry and Materials Science written by Biman Bagchi and published by CRC Press. This book was released on 2018-07-06 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the broad subject of equilibrium statistical mechanics along with many advanced and modern topics such as nucleation, spinodal decomposition, inherent structures of liquids and liquid crystals. Unlike other books on the market, this comprehensive text not only deals with the primary fundamental ideas of statistical mechanics but also covers contemporary topics in this broad and rapidly developing area of chemistry and materials science.

Statistical Mechanics of Neural Networks

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Author :
Publisher : Springer Nature
ISBN 13 : 9811675708
Total Pages : 302 pages
Book Rating : 4.06/5 ( download)

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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.