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Titlebook: Mathematics of Neural Networks; Models, Algorithms a Stephen W. Ellacott,John C. Mason,Iain J. Anderson Book 1997 Springer Science+Business

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發(fā)表于 2025-3-21 18:22:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Mathematics of Neural Networks
副標(biāo)題Models, Algorithms a
編輯Stephen W. Ellacott,John C. Mason,Iain J. Anderson
視頻videohttp://file.papertrans.cn/627/626951/626951.mp4
叢書名稱Operations Research/Computer Science Interfaces Series
圖書封面Titlebook: Mathematics of Neural Networks; Models, Algorithms a Stephen W. Ellacott,John C. Mason,Iain J. Anderson Book 1997 Springer Science+Business
描述This volume of research papers comprises the proceedings of the first International Conference on Mathematics of Neural Networks and Applications (MANNA), which was held at Lady Margaret Hall, Oxford from July 3rd to 7th, 1995 and attended by 116 people. The meeting was strongly supported and, in addition to a stimulating academic programme, it featured a delightful venue, excellent food and accommo- dation, a full social programme and fine weather - all of which made for a very enjoyable week. This was the first meeting with this title and it was run under the auspices of the Universities of Huddersfield and Brighton, with sponsorship from the US Air Force (European Office of Aerospace Research and Development) and the London Math- ematical Society. This enabled a very interesting and wide-ranging conference pro- gramme to be offered. We sincerely thank all these organisations, USAF-EOARD, LMS, and Universities of Huddersfield and Brighton for their invaluable support. The conference organisers were John Mason (Huddersfield) and Steve Ellacott (Brighton), supported by a programme committee consisting of Nigel Allinson (UMIST), Norman Biggs (London School of Economics), Chris Bisho
出版日期Book 1997
關(guān)鍵詞Analysis; algorithms; artificial intelligence; image processing; learning; linear optimization; machine le
版次1
doihttps://doi.org/10.1007/978-1-4615-6099-9
isbn_softcover978-1-4613-7794-8
isbn_ebook978-1-4615-6099-9Series ISSN 1387-666X Series E-ISSN 2698-5489
issn_series 1387-666X
copyrightSpringer Science+Business Media New York 1997
The information of publication is updating

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Q-Learning: A Tutorial and Extensionsr with behavior. Cognition deals with organizing, classifying and recognizing sensory stimuli. Behavior is more dynamic, involving sequences of actions and changing interactions with an external environment. The mathematical techniques that apply to these areas, at least from the point of neurocompu
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Are There Universal Principles of Brain Computation?ples are used in brain systems for early vision, visual object recognition, auditory source identification, variable-rate speech perception, and adaptive sensory-motor control, among others. These are principles of matching and resonance that form part of Adaptive Resonance Theory, or ART. In partic
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On-Line Training of Memory-Driven Attractor Networksified by attractors by a special training scheme. Memory adapts continually, whether or not a training signal is present. It is shown that consistent input-output pairs can be learned perfectly provided every pattern is repeated sufficiently often, and input patterns are nearly orthogonal.
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Mathematical Problems Arising from Constructing an Artificial Braine approach uses especially the increasing number of results obtained by means of non-invasive instruments (EEG,MEG,PET,fMRI), and the related psychological tasks. The paper describes the program and some of the mathematical problems that it is producing. In particular the class of problems associate
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