American Doctoral Dissertations

American Doctoral Dissertations PDF Author:
Publisher:
ISBN:
Category : Dissertation abstracts
Languages : en
Pages : 776

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American Doctoral Dissertations

American Doctoral Dissertations PDF Author:
Publisher:
ISBN:
Category : Dissertation abstracts
Languages : en
Pages : 776

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Book Description


Dissertation Abstracts International

Dissertation Abstracts International PDF Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 840

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Handbook of Magnetic Materials

Handbook of Magnetic Materials PDF Author:
Publisher: Elsevier
ISBN: 0444636412
Category : Technology & Engineering
Languages : en
Pages : 462

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Book Description
Handbook of Magnetic Materials covers the expansion of magnetism over the last few decades and its applications in research, notably the magnetism of several classes of novel materials that share with truly ferromagnetic materials the presence of magnetic moments. Volume 24 of the Handbook of Magnetic Materials, much like the preceding volumes, has a dual purpose. With contributions from leading authorities in the field, it includes a variety of self-contained introductions to a given area in the field of magnetism without requiring recourse to the published literature. The book is an ideal reference for scientists active in magnetism research, providing readers with novel trends and achievements in magnetism. Each article contains an extensive description given in graphical, as well as, tabular form, with much emphasis placed on the discussion of the experimental material within the framework of physics, chemistry, and material science. - Comprises topical review articles written by leading authorities - Includes a variety of self-contained introductions to a given area in the field of magnetism without requiring recourse to the published literature - Introduces given topics in the field of magnetism - Describes novel trends and achievements in magnetism

Artificial Neural Networks – ICANN 2009

Artificial Neural Networks – ICANN 2009 PDF Author: Cesare Alippi
Publisher: Springer Science & Business Media
ISBN: 3642042767
Category : Computers
Languages : en
Pages : 1034

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Book Description
This two volume set LNCS 5768 and LNCS 5769 constitutes the refereed proceedings of the 19th International Conference on Artificial Neural Networks, ICANN 2009, held in Limassol, Cyprus, in September 2009. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The first volume is divided in topical sections on learning algorithms; computational neuroscience; hardware implementations and embedded systems; self organization; intelligent control and adaptive systems; neural and hybrid architectures; support vector machine; and recurrent neural network.

Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 380

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Book Description
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.

Nonlinear Electromagnetic Systems

Nonlinear Electromagnetic Systems PDF Author: A. J. Moses
Publisher: IOS Press
ISBN: 9789051992519
Category : Computers
Languages : en
Pages : 986

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Book Description
The book covers classical and practical approaches to electromagnetic field solutions in magnetic devices. The following topics are addressed: Advanced computional techniques; Intelligent computer aided design; Magnetic materials; Inverse problems; Magnetic sensors and transducers; Performance and optimisation of devices; Applications to electronic systems; Modelling of non-linear systems and other related topics. This volume presents 200 of the best articles presented at the International Symposium on Non-Linear Electromagnetic Systems (ISEM in Cardiff, Wales). The previous ISEM papers were published in the successful volume Advanced Computational and Design Techniques in Applied Electromagnetic Systems (by Elsevier).Main chapters in this book are: Electromagnetic Devices: Non-linearities at contacts and interfaces in semiconductor structures by R.H. Williams as key-note. Optimisation, Inverse and Biological Studies: Power loss testing; intelligent computation of optimization of metal cutting; grid methods for CFD and CEM. Magnetic Materials: Materials for circuit semilator applications; rotational magnetostriction. Computational Techniques and Modelling: Electromagnetic device design; soft magnetic materials; engineering application of artificial intelligence. Sensors and Non-destructive Testing: Eddy current nondestructive evaluation; nonlinear magnetoresistance; micro magnetic sensor. Electronic and Electrical Applications: Non-linear transistor parameters; superconducting magnets.

Proceedings of IAC-EIaT 2014

Proceedings of IAC-EIaT 2014 PDF Author: collective of authors
Publisher: Czech Institute of Academic Education z.s.
ISBN: 8090579116
Category : Computers
Languages : en
Pages : 286

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Book Description
Conference proceedings - International Academic Conference on Engineering, Internet and Technology in Prague 2014 (IAC-EIaT 2014 in Prague), Friday - Saturday, December 12 - 13, 2014

Applied Mechanics Reviews

Applied Mechanics Reviews PDF Author:
Publisher:
ISBN:
Category : Mechanics, Applied
Languages : en
Pages : 390

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Advances in Neural Networks -- ISNN 2011

Advances in Neural Networks -- ISNN 2011 PDF Author: Derong Liu
Publisher: Springer
ISBN: 3642211119
Category : Computers
Languages : en
Pages : 661

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Book Description
The three-volume set LNCS 6675, 6676 and 6677 constitutes the refereed proceedings of the 8th International Symposium on Neural Networks, ISNN 2011, held in Guilin, China, in May/June 2011. The total of 215 papers presented in all three volumes were carefully reviewed and selected from 651 submissions. The contributions are structured in topical sections on computational neuroscience and cognitive science; neurodynamics and complex systems; stability and convergence analysis; neural network models; supervised learning and unsupervised learning; kernel methods and support vector machines; mixture models and clustering; visual perception and pattern recognition; motion, tracking and object recognition; natural scene analysis and speech recognition; neuromorphic hardware, fuzzy neural networks and robotics; multi-agent systems and adaptive dynamic programming; reinforcement learning and decision making; action and motor control; adaptive and hybrid intelligent systems; neuroinformatics and bioinformatics; information retrieval; data mining and knowledge discovery; and natural language processing.

Data-Driven Evolutionary Modeling in Materials Technology

Data-Driven Evolutionary Modeling in Materials Technology PDF Author: Nirupam Chakraborti
Publisher: CRC Press
ISBN: 1000635821
Category : Technology & Engineering
Languages : en
Pages : 319

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Book Description
Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are used in learning and modeling especially with the advent of big data related problems. This book presents the algorithms and strategies specifically associated with pertinent issues in materials science domain. It discusses the procedures for evolutionary multi-objective optimization of objective functions created through these procedures and introduces available codes. Recent applications ranging from primary metal production to materials design are covered. It also describes hybrid modeling strategy, and other common modeling and simulation strategies like molecular dynamics, cellular automata etc. Features: Focuses on data-driven evolutionary modeling and optimization, including evolutionary deep learning. Include details on both algorithms and their applications in materials science and technology. Discusses hybrid data-driven modeling that couples evolutionary algorithms with generic computing strategies. Thoroughly discusses applications of pertinent strategies in metallurgy and materials. Provides overview of the major single and multi-objective evolutionary algorithms. This book aims at Researchers, Professionals, and Graduate students in Materials Science, Data-Driven Engineering, Metallurgical Engineering, Computational Materials Science, Structural Materials, and Functional Materials.