منابع مشابه
On-line Learning in Self Organising Fuzzy Controller with Application
A Self Organising Fuzzy Controller for linear or non-linear processes with a minimum knowledge about the process is developed with the only assumption that the output of the process is monotonic with respect to the input (as most industrial processes are). Beginning with an empty rule-base a fuzzy process model is progressively on-line built. In this way the controller gradually learns how to c...
متن کاملIncremental Polynomial Model-Controller Network: a self organising non-linear controller
The aim of this study is to present the "Incremental Polynomial Model-Controller Network" (IPMCN). This network is composed of controllers each one attached to a model used for its indirect design. At each instant the controller connected to the model performing the best is selected. An automatic network construction algorithm is discribed in this study. It makes the IPMCN a self-organising non...
متن کاملUsing Fuzzy Self-Organising Maps for Safety Critical Systems
This paper defines a type of constrained Artificial Neural Network (ANN) that enables analytical certification arguments whilst retaining valuable performance characteristics. Previous work has defined a safety lifecycle for ANNs without detailing a specific neural model. Building on this previous work, the underpinning of the devised model is based upon an existing neurofuzzy system called the...
متن کاملMicroarray Data Mining with Fuzzy Self-Organising Maps
The main problem of analyzing microarray datasets is that while it can measure genetic expression by the thousands, it has very little samples by comparison. For such data, a “big picture” method was employed here to cluster and visualize the data. Self-Organising Maps (SOM) organises a dataset based on distance measure and subsequently projects the clustered data onto a 2-dimensional plane for...
متن کاملMulti-objective Genetic Optimisation for Self-organising Fuzzy Logic Control
A multi-objective genetic algorithm is developed for the purpose of optimizing the rule-base of a Self-Organising Fuzzy Logic Control algorithm (SOFLC). The tuning of the SOFLC optimization is based on selection of the best shaped performance index for modifying the rulebase on-line. A comparative study is conducted between various methods of multi-objective genetic optimisation using the SOFLC...
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ژورنال
عنوان ژورنال: Transactions of the Society of Instrument and Control Engineers
سال: 1984
ISSN: 0453-4654
DOI: 10.9746/sicetr1965.20.720