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Titlebook: Computational Intelligence; Engineering of Hybri Mircea Gh. Negoita,Daniel Neagu,Vasile Palade Book 2005 Springer-Verlag Berlin Heidelberg

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發(fā)表于 2025-3-21 19:30:52 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Computational Intelligence
副標(biāo)題Engineering of Hybri
編輯Mircea Gh. Negoita,Daniel Neagu,Vasile Palade
視頻videohttp://file.papertrans.cn/233/232370/232370.mp4
概述Introduction to the engineering aspects of intelligent hybrid systems.Presents fundamentals, background information, and practical methods for building an intelligent hybrid system.Quickly familiarize
叢書(shū)名稱Studies in Fuzziness and Soft Computing
圖書(shū)封面Titlebook: Computational Intelligence; Engineering of Hybri Mircea Gh. Negoita,Daniel Neagu,Vasile Palade Book 2005 Springer-Verlag Berlin Heidelberg
描述.Hybrid Intelligent Systems has become an important research topic in computer science and a key application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems, also emphasizing the interrelation with the main intelligent technologies such as genetic algorithms – evolutionary computation, neural networks, fuzzy systems, evolvable hardware, DNA computing, artificial immune systems. A unitary whole of theory and application, the book provides readers with the fundamentals, background information, and practical methods for building a hybrid intelligent system. It treats a panoply of applications, including many in industry, educational systems, forecasting, financial engineering, and bioinformatics. This volume is useful to newcomers in the field because it quickly familiarizes them with engineering elements of developing hybrid intelligent systems and a wide range of real applications, including non-industrial applications. Researchers, developers and technically oriented managers can use the book for developing both new hybrid intelligent systems approaches and new applications requiring the hybridization
出版日期Book 2005
關(guān)鍵詞Computational Intelligence; Computer; DNA computing; Evolutionary Computation; Fuzzy; Fuzzy Systems; Hardw
版次1
doihttps://doi.org/10.1007/b12051
isbn_softcover978-3-642-06224-7
isbn_ebook978-3-540-32369-3Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 2005
The information of publication is updating

書(shū)目名稱Computational Intelligence影響因子(影響力)




書(shū)目名稱Computational Intelligence影響因子(影響力)學(xué)科排名




書(shū)目名稱Computational Intelligence網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Computational Intelligence網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Computational Intelligence被引頻次




書(shū)目名稱Computational Intelligence被引頻次學(xué)科排名




書(shū)目名稱Computational Intelligence年度引用




書(shū)目名稱Computational Intelligence年度引用學(xué)科排名




書(shū)目名稱Computational Intelligence讀者反饋




書(shū)目名稱Computational Intelligence讀者反饋學(xué)科排名




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發(fā)表于 2025-3-22 00:11:44 | 只看該作者
1434-9922 or building an intelligent hybrid system.Quickly familiarize.Hybrid Intelligent Systems has become an important research topic in computer science and a key application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems,
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Generalized Langevin Equation and Anomaly,etworks. It presents some interactive fuzzy operators in order to extract connectionist-represented knowledge, based on the concept of .-duality. The methodologies are tested on simple and traditional case studies, using two known benchmarks: the Iris problem and the Portfolio problem.
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https://doi.org/10.1007/978-3-540-47217-9of two sequential steps: residual generation and residual evaluation. In the first step, a number of residual signals are generated in order to determine the state of the process. The objective of fault isolation is to determine if a fault has occurred and, if so, to determine the location of the fault, by an analysis on the residual vector.
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Neuro-Fuzzy Based Hybrid Intelligent Systems for Fault Diagnosis,of two sequential steps: residual generation and residual evaluation. In the first step, a number of residual signals are generated in order to determine the state of the process. The objective of fault isolation is to determine if a fault has occurred and, if so, to determine the location of the fault, by an analysis on the residual vector.
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Generalized Langevin Equation and Anomaly,iplinary development approach of . and . reliant hybridisation algorithms, techniques and application was created by the collective effort of a large spectrum of high technology practitioners; mainly the computer scientists, engineers acting in different technicalfields, biologists and natural environment specialists.
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