منابع مشابه
Visualization of evolving fuzzy rule-based systems
Evolving fuzzy systems are data-driven fuzzy (rule-based) systems supporting an incremental mode of model adaptation in dynamically changing environments; typically, such models are learned on a continuous stream of data in an online manner. This paper advocates the use of visualization techniques in order to help a user gain insight into the process of model evolution. More specifically, dynam...
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Industrial monitoring of complex processes with hundreds or thousands of variables is a hard task faced in this work through evolving fuzzy systems. The Visbreaker process of the Sines Oil Refinery is the case studied. Firstly dimension reduction is performed by multidimensional scaling, obtaining the process evolution in a three dimensional space. Then an evolving fuzzy system (eFS) is develop...
متن کاملA Dynamically-Reconfigurable FPGA Platform for Evolving Fuzzy Systems
In this contribution, we describe a hardware platform for evolving a fuzzy system by using Fuzzy CoCo — a cooperative coevolutionary methodology for fuzzy system design — in order to speed up both evolution and execution. Reconfigurable hardware arises between hardware and software solutions providing a trade-off between flexibility and performance. We present an architecture that exploits the ...
متن کاملRule Chains for Visualizing Evolving Fuzzy Rule-Based Systems
Evolving fuzzy systems are data-driven fuzzy (rule-based) systems supporting an incremental model adaptation in dynamically changing environments; typically, such models are learned on a continuous stream of data in an online manner. This paper advocates the use of visualization techniques in order to help a user gain insight into the process of model evolution. More specifically, rule chains a...
متن کاملA Framework for Evolving Fuzzy Classifier Systems Using Genetic Programming
A fuzzy classifier system framework is proposed which employs a tree-based representation for fuzzy rule (classifier) antecedents and genetic programming for fuzzy rule discovery. Such a rule representation is employed because of the expressive power and generality it endows to individual rules. The framework proposes accuracy-based fitness for individual fuzzy classifiers and employs evolution...
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ژورنال
عنوان ژورنال: Scholarpedia
سال: 2008
ISSN: 1941-6016
DOI: 10.4249/scholarpedia.6274