Introduction to Neuro-Fuzzy and Soft Computing. Adaptive-Networks-based Fuzzy Inference Systems. The book is oriented toward methodologies that are likely to be of practical use; many step-by-step examples are included to complement explanations in the text. Sign In We’re sorry! This will enable students to pursue individual topics in greater depth. The work is protected by local and international copyright laws and is provided solely for the use of instructors in teaching their courses and assessing student learning. Least-Squares Methods for System Identification.
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Adaptive-Networks-based Fuzzy Inference Systems.
Pearson offers special pricing when you package your text with other student resources. Introduction to Neuro-Fuzzy and Soft Computing. The book is oriented toward methodologies that are likely to be of practical use; many step-by-step examples are included to complement explanations in the text.
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Neuro-Fuzzy And Soft – PDF Drive
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Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence
Description Intended for use in courses on computational intelligence at either the college senior or first-year graduate level. Intended for use in courses on computational intelligence at either the college senior or first-year graduate level.
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Neuro-Fuzzy and Soft Computing
Neuro-Fuzzy and Soft Computing: If you’re interested in creating a cost-saving package for your students, contact your Pearson rep. Least-Squares Methods for System Identification. The work is protected by local and international copyright laws and is provided solely for fizzy use of instructors in teaching their courses and assessing student learning.
Sign Up Already have an access code? Username Password Forgot your username or password? The book places equal emphasis on theoretical aspects of covered methodologies, empirical observations and verifications of various applications in practice. Overview Features Contents Order Overview.
This text provides the first comprehensive treatment of the methodologies underlying neuro-fuzzy and soft computing, an evolving branch within the scope of computational intelligence.
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