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Neuro-Fuzzy and Soft Computing provides the first comprehensive treatment of the constituent methodologies underlying neuro-fuzzy and soft computing, an evolving branch of computational intelligence. The constituent methodologies include fuzzy set theory, neural networks, data clustering techniques, and several stochastic optimization methods that do not require gradient information. In particular, the authors put equal emphasis on theoretical aspects of covered methodologies, as well as empirical observations and verifications of various applications in practice. The book is well suited for use as a text for courses on computational intelligence and as a single reference source for this emerging field. To help readers understand the material the presentation includes more than 50 examples, more than 150 exercises, over 300 illustrations, and more than 150 Matlab scripts. In addition, Matlab is utilized to visualize the processes of fuzzy reasoning, neural-network learning, neuro-fuzzy integration and training, and gradient-free optimization (such as genetic algorithms, simulated annealing, random search, and downhill Simplex method). The presentation also makes use of SIMULINK for neuro-fuzzy control system simulations. All Matlab scripts used in the book are available on the free companion software disk that may be ordered by using the enclosed reply card. The book also contains an "Internet Resource Page" to point the reader to on-line neuro-fuzzy and soft computing home pages, publications, public-domain software, research institutes, news groups, etc. All the HTTP and FTP addresses are available as a bookmark file on the companion software disk.

Prepare to pass four core MCSE Windows Server 2003 certification exams For exam success, you'll need the best preparation, and this definitive reference covers all material on the MCSE Windows Server 2003 exams. Written by Microsoft-certified professionals with more than two decades of combined instructional and consultant experience in the IT field, this resource provides helpful exam tips, end-of-chapter practice questions, and plenty of hands-on examples and exercises that reinforce core concepts. In addition to full coverage of MCSE Windows Server 2003 exam objectives, this information-rich volume is organized to help you develop real-world solutions once you've passed the exam and find yourself on the job. Get full exam details on all exam objectives, including how to: Install and manage devices with ease, from SCSI cards to USB cameras Implement and manage physical disks and use the different kinds of volumes effectively Manage local user accounts and domain user accounts Provide secure access to files and folders in your network Detect problems and prevent breakdowns with performance and monitoring tools Implement, manage, and maintain IP addressing, name resolution, routing, and remote access Plan and maintain a Microsoft Windows Server 2003 network infrastructure Master the logical and physical elements of the Active Directory infrastructure Includes simulated exams with hundreds of practice questions and answers on CD. PLUS, bonus exams available with free online registration! About the authors: Brian Culp, MCSE, MCT, A+, is president and CEO of LANscape, Inc., a firm that provides training and network administration solutions for companies of all sizes. He is alsothe author of "Mike Meyers' MCSE Windows 2000 Professional Certification Passport and "Mike Meyers' MCSE Windows XP Professional Certification Passport.

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Free Domain Name Search - Free Domain Name Search Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence by Jyh-Shing Roger Jang, Neuro-Fuzzy free domain name search and Soft Computing provides the first comprehensive treatment of the constituent methodologies underlying neuro-fuzzy free domain name search and soft computing, an evolving branch of computational intelligence. The constituent methodologies include fuzzy set theory, neural networks, data clustering techniques, free domain name search and several stochastic optimization methods that do not require ...

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