Displaying similar documents to “Fast prototyping of computing-oriented fuzzy-logic systems.”

Automatic synthesis of fuzzy logic controllers.

Angel Barriga, Santiago Sánchez-Solano, Carlos Jesús Jiménez, D. Galán, D. R. López (1996)

Mathware and Soft Computing

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This paper describes a design environment for the hardware realizations of fuzzy controllers which includes a set of CAD tools to ease the description, verification and synthesis of this kind of systems. Special emphasis is focused on the use of a standard hardware description language (VHDL) and compatibility with other integrated circuits design tools.

An specification language for fuzzy systems.

Francisco José Moreno-Velo, Santiago Sánchez-Solano, Angel Barriga, M.ª Iluminada Baturone, Diego R. López (2001)

Mathware and Soft Computing

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This work presents the main features of XFL3, a language for fuzzy system specification, which has been defined as the common description languaje for the tools forming the Xfuzzy 3.0 development environment. Its main advantages are its capability to admit user-defined membership functions, parametric operators, and linguistic hedges. A brief summary of the tools included in Xfuzzy 3.0 and an example illustrating the use of XFL3 are also included.

Systolic architectures for fuzzy processing and their simulation.

Luis de Salvador, Marcos García, Julio Gutiérrez (1994)

Mathware and Soft Computing

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This paper details the study of systolic architectures for fuzzy rules processing made at the Hardware and Advanced Control Laboratory - INTA. The theoretical basis of these architectures is described and analysed. Likewise, the resultant schematics are simulated using a hardware description language (VHDL) with standard cells from ES2. This gives us a very accurate assessment of their real performance. In this way we can detect the inherent shortcomings in this class of systems and...

Design of a rule-driven architecture for a generic T-norm.

Enrique Frías, Julio Gutiérrez, Felipe Fernández (2000)

Mathware and Soft Computing

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Rule-Driven processing has been proved as a way of achieving high speed in fuzzy hardware. Up to now, rule-driven architectures were designed to work with minimum or product as T-norm. This paper proposes two new rule-driven models designed for any T-norm (programmable T-norm) and any kind of membership function. The first one gives a valid theory for rule-driven processing with programmable T-norm and establishes the background for the second model. The second model has been designed...

A methodology for developing knowledge-based systems.

Juan Luis Castro, José Jesús Castro-Sánchez, Antonio Espin, José Manuel Zurita (1998)

Mathware and Soft Computing

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This paper presents a methodology for developing fuzzy knowledge based systems (KBS), which permits a complete automatization. This methodology will be useful for approaching more complex problems that those in which machine learning from examples are successful.

Fuzzy approach for data association in image tracking.

Julio García, José Manuel Molina, Juan Alberto Besada, Javier I. Portillo (2003)

Mathware and Soft Computing

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A fuzzy system has been developed to ponder update decisions both for the trajectories and shapes estimated for targets. It is embedded in an A-SMGCS Surveillance function for airport surface, based on video data processing, in charge of the automatic detection, identification and tracking of all interesting targets (aircraft and relevant ground vehicles). The tracking system captures a sequence of images, preprocesses them to extract the moving regions (blobs), and associates the blobs...

Learning under hardware restrictions in CMOS fuzzy controllers able to extract rules from examples.

Fernando Vidal Verdú, Rafael Navas-González, Angel Rodríguez-Vázquez (1996)

Mathware and Soft Computing

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Fuzzy controllers are able to incorporate knowledge expressed in if-then rules. These rules are given by experts or skilful operators. Problems arise when there are no experts or/and rules are not easy to find. Author's proposal consists on an analog fuzzy controller which accepts structured language as well as input/output data pairs, thus rules can be extracted or tuned from human or software controller operation. Learning from data pairs has to be carried out under hardware restrictions...