Neuro-fuzzy modeling to adsorptive performance of magnetic chitosan nanocomposite
نویسندگان
چکیده
منابع مشابه
Neuro-Fuzzy System Modeling
System modeling concerns modeling the operation of an unknown system from a set of measured input-output data and/or some prior knowledge (e.g., experience, expertise, or heuristics) about the system. It plays a very important role and has a wide range of applications in various areas such as control, power systems, communications, networks, machine intelligence, etc. To understand the underlyi...
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Fuzzy logic and fuzzy systems have recently been receiving a lot of attention, both from the media and scientific community, yet the basic techniques were originally developed in the mid-sixties. Fuzzy logic provides a formalism for implementing expert or heuristic rules on computers, and while this is the main goal in the field of expert or knowledge-based systems, fuzzy systems have had consi...
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Neuro-fuzzy modeling may be qualified as a grey-box technique, since it combines the transparency of rule-based fuzzy systems with the learning capability of neural networks. The main problem in the identification of non-linear processes is the lack of complete information. Certain variables are, either immeasurable or difficult to measure, the soft sensors are the necessary tools to solve the ...
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ژورنال
عنوان ژورنال: Journal of Nanostructure in Chemistry
سال: 2016
ISSN: 2008-9244,2193-8865
DOI: 10.1007/s40097-016-0211-4