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Titlebook: Concurrent Learning and Information Processing; A Neuro-Computing Sy Robert J. Jannarone Book 1997 Chapman & Hall 1997 control.energy.infor

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發(fā)表于 2025-3-21 20:06:51 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Concurrent Learning and Information Processing
副標(biāo)題A Neuro-Computing Sy
編輯Robert J. Jannarone
視頻videohttp://file.papertrans.cn/236/235165/235165.mp4
圖書(shū)封面Titlebook: Concurrent Learning and Information Processing; A Neuro-Computing Sy Robert J. Jannarone Book 1997 Chapman & Hall 1997 control.energy.infor
描述Many monitoring, forecasting, and control operations occur insettings where relationships among key measurements must be learnedquickly. Examples are on-line industrial processes where influentmaterial is not consistent over time, energy load or price forecastingwhere demand characteristics change rapidly,and health managementwhere relationships among monitored variables must be learned for eachpatient-treatment combination. The solution presented is a newneuro-computing system that learns in real-time, even when dataarrival rates are several million measurements per second. The bookdescribes benefits and features of the system, statistical foundationsfor the system, and several related models. .The book also describes available system software.
出版日期Book 1997
關(guān)鍵詞control; energy; information processing; learning; software
版次1
doihttps://doi.org/10.1007/978-1-4613-0431-9
isbn_softcover978-1-4613-8049-8
isbn_ebook978-1-4613-0431-9
copyrightChapman & Hall 1997
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書(shū)目名稱(chēng)Concurrent Learning and Information Processing影響因子(影響力)




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Basic Concurrent Learning and Predictionects that are used by rapid learning methods. The next section describes rapid learning and prediction concepts for applications involving one or two variables. The final section describes rapid learning and prediction in more detail for applications involving several variables.
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https://doi.org/10.1007/978-1-4613-0431-9control; energy; information processing; learning; software
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Shepard II: The Shock of the Normal, . methods. (All underlined terms in this chapter and the rest of the book appear in the Glossary.) The examples are arranged in this chapter, just as they are arranged throughout this book, into three main application areas: adaptive . (see section 1.1), . (see section 1.2), and . (see section 1.3)
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