Evolving Intelligent Systems

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Methodology and Applications

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Methodology and Applications

From theory to techniques, the first all-in-one resource for EIS

There is a clear demand in advanced process industries, defense, and Internet and communication (VoIP) applications for intelligent yet adaptive/evolving systems. Evolving Intelligent Systems is the first self- contained volume that covers this newly established concept in its entirety, from a systematic methodology to case studies to industrial applications. Featuring chapters written by leading world experts, it addresses the progress, trends, and major achievements in this emerging research field, with a strong emphasis on the balance between novel theoretical results and solutions and practical real-life applications.

Explains the following fundamental approaches for developing evolving intelligent systems (EIS):

the Hierarchical Prioritized Structure the Participatory Learning Paradigm

the Evolving Takagi-Sugeno fuzzy systems (eTS+)

the evolving clustering algorithm that stems from the well-known Gustafson-Kessel offline clustering algorithm

Emphasizes the importance and increased interest in online processing of data streams

Outlines the general strategy of using the fuzzy dynamic clustering as a foundation for evolvable information granulation

Presents a methodology for developing robust and interpretable evolving fuzzy rule-based systems

Introduces an integrated approach to incremental (real-time) feature extraction and classification

Proposes a study on the stability of evolving neuro-fuzzy recurrent networks

Details methodologies for evolving clustering and classification

Reveals different applications of EIS to address real problems in areas of:

evolving inferential sensors in chemical and petrochemical industry

learning and recognition in robotics

Features downloadable software resources

Evolving Intelligent Systems is the one-stop reference guide for both theoretical and practical issues for computer scientists, engineers, researchers, applied mathematicians, machine learning and data mining experts, graduate students, and professionals.

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مغایرت عنوان کتاب با توضیحات و تصویر جلد
عدم رعایت حقوق نشر طبق قوانین جمهوری اسلامی ایران
محتوای مستهجن
توهین به قومیتها و محتوای نژادپرستی
توهین به اقیلیتهای مذهبی
اهانت به مقامات سیاسی و مذهبی
اشاعه ی کودک آزاری
سایر موارد

بستن

فرمت کتاب

ebook

زبان

english

تاریخ انتشار

2010

نویسنده

Nik Kasabov

ناشر

Wiley-IEEE Press

شابک

9780470287194

20,000 تومان

خرید کتاب مطالعه نمونه درخواست ترجمه کتاب

خرید کتاب Evolving Intelligent Systems

Evolving Intelligent Systems

گزارش تخلف

فرمت کتاب

ebook

زبان

english

تاریخ انتشار

2010

نویسنده

ناشر

شابک

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