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Titlebook: Emotional Cognitive Neural Algorithms with Engineering Applications; Dynamic Logic: From Leonid Perlovsky,Ross Deming,Roman Ilin Book 2011

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發(fā)表于 2025-3-21 18:04:27 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Emotional Cognitive Neural Algorithms with Engineering Applications
副標(biāo)題Dynamic Logic: From
編輯Leonid Perlovsky,Ross Deming,Roman Ilin
視頻videohttp://file.papertrans.cn/309/308668/308668.mp4
概述Presents a new Dynamic connection of fuzzy and crisp logic.Written by leading experts in this field.State-of-the-Art book
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Emotional Cognitive Neural Algorithms with Engineering Applications; Dynamic Logic: From  Leonid Perlovsky,Ross Deming,Roman Ilin Book 2011
描述.Dynamic logic (DL) recently had a highest impact on the development in several areas of modeling and algorithm design. The book discusses classical algorithms used for 30 to 50 years (where improvements are often measured by signal-to-clutter ratio), and also new areas, which did not previously exist. These achievements were recognized by National and International awards. Emerging areas include cognitive, emotional, intelligent systems, data mining, modeling of the mind, higher cognitive functions, evolution of languages and other. Classical areas include detection, recognition, tracking, fusion, prediction, inverse scattering, and financial prediction. All these classical areas are extended to using mixture models, which previously was considered unsolvable in most cases. Recent neuroimaging experiments proved that the brain-mind actually uses DL. ?Emotional Cognitive Neural Algorithms with Engineering Applications“ is written for professional scientists and engineers developing computer and information systems, for professors teaching modeling and algorithms, and for students working on Masters and Ph.D. degrees in these areas. The book will be of interest to psychologists and
出版日期Book 2011
關(guān)鍵詞Computational Intelligence; Dynamic Systems; complexity
版次1
doihttps://doi.org/10.1007/978-3-642-22830-8
isbn_softcover978-3-642-26938-7
isbn_ebook978-3-642-22830-8Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2011
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發(fā)表于 2025-3-22 00:17:31 | 只看該作者
Dynamic Logic,ch of “connectivism” or neural networks is dynamical and has been conceived to be capable of learning. Its weakness is that it cannot easily incorporate structural knowledge. As discussed in the previous chapter, both approaches faced combinatorial complexity (CC). DL combines structure and dynamics
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發(fā)表于 2025-3-22 12:35:39 | 只看該作者
Epilogue Future Research Directions,hat it is a fundamental mathematical result. Similarly, its wide applicability to cognitive phenomena, explanation and mathematical modeling of much that has not been understood previously, indicates that it is a fundamental mechanism of the mindbrain. Here we summarize the main ideas of the book: m
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Tabellenverarbeitung mit Multiplan,tion, tracking, and association (“track before detect”); sensor fusion and association (“fuse before detect”); situational awareness; prediction and specifics of financial prediction. In all cases DL leads to practical improvements; we concentrate on complex aspects of problems, which have remained
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發(fā)表于 2025-3-23 08:51:32 | 只看該作者
,Graue Fl?chen und Schraffuren,hat it is a fundamental mathematical result. Similarly, its wide applicability to cognitive phenomena, explanation and mathematical modeling of much that has not been understood previously, indicates that it is a fundamental mechanism of the mindbrain. Here we summarize the main ideas of the book: m
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