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4 produkter
1 064 kr
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The use of flexible sigmoid functions makes artificial neural networks more versatile. This volume determines learning algorithms for sigmoid functions in several different learning modes using flexible structures of neural networks with new derivation algorithms. The book is aimed at electrical, electronic, and mechanical control and systems engineers concerned with intelligent control who wish to explore neural network approaches. Here, for readers who are unfamiliar with neural network computing, is a concise introduction to the main existing types of flexible neural networks. This work will be an aid to new research in which high abilities in artificial neural networks in intelligent control design and development can be achieved.
1 061 kr
Skickas inom 10-15 vardagar
Today high magnetic fields play an increasingly important role in many scientific fields. Formerly their use was largely restricted to the measurement of physical phenomena and the characterization of materials. But more recently they have found application in many new areas such as materials processing, crystal growth, and even in chemistry and biology. This book gives a broad survey of some of the most exciting recent applications of high magnetic fields, with the emphasis on materials science. These include, among others, the study of conventional and high-Tc superconductors, semiconductors, low-dimensional organic conductors, conducting polymers and protein crystallization. Each chapter begins with a general introduction and goes on to present detailed experimental results together with their interpretation. Researchers and students alike will find this book an excellent introduction to, and overview of current applications of static high magnetic fields.
1 061 kr
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There is no strict definition of the term "High Magnetic Field". It has been proposed to use this term for magnetic fields that are technically difficult to generate and therefore need special equipment or large resources. Static fields above 20 T are apparently high magnetic fields in this sense, but in the case of pulsed field 40 T is easy to obtain and any field lower than this approximate limit should not be considered as "high". When a static field is used for materials processing, even 10 T is considered as "high" because the long-term use of a conventional superconducting magnet is difficult. Recently, there has been much technical progress in producing high mag netic fields, both pulsed and static; in large part this is due to the devel opment of new materials. Complicated poly-helix coils are now replaced by simple Bitter coils made with plates of CuAg alloy with high strength and high conductivity; these are used in both water-cooled and hybrid magnets (now up to 45 Tat NHMFL, the US National High Magnetic Field Labora tory at Tallahassee, Florida). By using CuAg wire, a nondestructive pulsed field record of 80 T has been achieved at Osaka University. For daily use in experiments, 70-75 T should soon become available. Major facilities for static high fields worldwide are planning to generate fields over 40 T by increasing the electric power. On the other hand, the use of static high magnetic fields is expanding.
1 061 kr
Skickas inom 10-15 vardagar
The use of flexible sigmoid functions makes artificial neural networks more versatile. This volume determines learning algorithms for sigmoid functions in several different learning modes using flexible structures of neural networks with new derivation algorithms. The book is aimed at electrical, electronic, and mechanical control and systems engineers concerned with intelligent control who wish to explore neural network approaches. Here, for readers who are unfamiliar with neural network computing, is a concise introduction to the main existing types of flexible neural networks. This book will be a valuable aid to new research in which high abilities in artificial neural networks in intelligent control design and development can be achieved.