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Titlebook: Neural Networks; An Introduction Berndt Müller,Joachim Reinhardt Textbook 19901st edition Springer-Verlag Berlin Heidelberg 1990 Konnektion

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发表于 2025-3-21 16:10:31 | 显示全部楼层 |阅读模式
书目名称Neural Networks
副标题An Introduction
编辑Berndt Müller,Joachim Reinhardt
视频video
丛书名称Physics of Neural Networks
图书封面Titlebook: Neural Networks; An Introduction Berndt Müller,Joachim Reinhardt Textbook 19901st edition Springer-Verlag Berlin Heidelberg 1990 Konnektion
描述The mysteries of the human mind have fascinated scientists and philosophers alike for centuries. Descartes identified our ability to think as the foundation stone of ontological philosophy. Others have taken the human mind as evidence of the existence of supernatural powers, or even of God. Serious scientific in­ vestigation, which began about half a century ago, has partially answered some of the simpler questions (such as how the brain processes visual information), but has barely touched upon the deeper ones concerned with the nature of consciousness and the possible existence of mental features transcending the biological substance of the brain, often encapsulated in the concept "soul". Besides the physiological and philosophical approaches to these questions, so impressively presented and contrasted in the recent book by Popper and Ec­ cles [P077), studies of formal networks composed of binary-valued information­ processing units, highly abstracted versions of biological neurons, either by mathematical analysis or by computer simulation, have emerged as a third route towards a better understanding of the brain, and possibly of the human mind. Long remaining - with the exceptio
出版日期Textbook 19901st edition
关键词Konnektionismus (Kybern; ); Künstliche Intelligenz; Pa; artificial intelligence; associative memory; brain
版次1
doihttps://doi.org/10.1007/978-3-642-97239-3
isbn_ebook978-3-642-97239-3Series ISSN 0939-3145
issn_series 0939-3145
copyrightSpringer-Verlag Berlin Heidelberg 1990
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https://doi.org/10.1007/978-3-642-97239-3Konnektionismus (Kybern; ); Künstliche Intelligenz; Pa; artificial intelligence; associative memory; brain
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Associative Memoryutation on a neural network. An information storage device is called an ., if it permits the recall of information on the basis of a partial knowledge of its content, but without knowing its storage location. One also speaks of . memory.
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VLSI and Neural Networksit it for practical and perhaps beneficial purposes, one must face the challenge of performing real-life neural computations. Several courses can be followed to achieve this purpose. We enumerate the most important alternatives:
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Neural Networks IntroducedNeural-network models are algorithms for cognitive tasks, such as learning and optimization, which are in a loose sense based on concepts derived from research into the nature of the brain. In mathematical terms .:
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ApplicationsIn the past few years, layered feed-forward neural networks learning by error back-propagation have been applied to a number of problems. We cannot discuss all of these sometimes quite impressive applications here in detail, but we shall discuss a few selected examples in the following, leaving others to further study by the interested reader.
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Springer-Verlag Berlin Heidelberg 1990
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