Journal of Intelligent & Fuzzy Systems - Volume 36, issue 4
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Preview this item Preview this item. Series: International series in intelligent technologies , 3. As many people have realized, the major obstacles in building a real intelligent machine are dealing with random disturbances, processing large amounts of imprecise data, interacting with a dynamically changing environment, and coping with uncertainty. The use of neural-fuzzy techniques can help solve many of these problems.
Fuzzy Logic and Intelligent Systems reflects the most recent developments in neural networks and fuzzy logic and their applications in intelligent systems.
In addition, the balance between theoretical work and applications makes this book not only suitable for researchers and engineers, but for graduate students as well. Read more Show all links.
Allow this favorite library to be seen by others Keep this favorite library private. Find a copy in the library Finding libraries that hold this item One of the attractions of fuzzy logic is its utility in solving many real engineering problems.
- Fuzzy Logic and Intelligent Systems | Hua Harry Li | Springer?
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Fuzzy Logic and Intelligent Systems reflects the most recent developments in neural networks and fuzzy logic, and their application in intelligent systems. Reviews User-contributed reviews Add a review and share your thoughts with other readers. Be the first. Add a review and share your thoughts with other readers. Fuzzy logic. Inteligencia artificial computacao Artificial intelligence -- Use of -- Computers. Linked Data More info about Linked Data. Mizumoto -- 2. Gupta and Peter N.
Nikiforuk -- 3. Nikiforuk -- Al Gobaisi and Ganti Prasada Rao. Gupta " ;.
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