Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Simulink-based HW/SW codesign of embedded neuro-fuzzy systems.

L M Reyneri1, M Chiaberge, L Lavagno

  • 1Dipartimento di Elettronica - Politecnico di Torino, Italy. reyneri@polito.it

International Journal of Neural Systems
|September 30, 2000
PubMed
Summary

This study introduces a semi-automatic hardware/software codesign flow for creating efficient Neuro-Fuzzy embedded systems. It enables rapid prototyping and design while optimizing for low power and cost.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Unification of neural and wavelet networks and fuzzy systems.

IEEE transactions on neural networks·2008
Same author

Implementation issues of neuro-fuzzy hardware: going toward HW/SW codesign.

IEEE transactions on neural networks·2008
Same author

CD157 is part of a supramolecular complex with CD11b/CD18 on the human neutrophil cell surface.

Journal of biological regulators and homeostatic agents·2008
Same author

Macrophage stimulating protein (MSP) evokes superoxide anion production by human macrophages of different origin.

British journal of pharmacology·2001
Same author

Tachykinin activation of human monocytes from patients with rheumatoid arthritis: in vitro and ex-vivo effects of cyclosporin A.

Neuropeptides·2001
Same author

Tachykinin activation of human monocytes from patients with interstitial lung disease, healthy smokers or healthy volunteers.

Neuropeptides·2000

Area of Science:

  • Embedded Systems Engineering
  • Computer Architecture
  • Artificial Intelligence

Background:

  • Neuro-Fuzzy systems are increasingly used in embedded applications.
  • Designing these systems requires balancing hardware and software trade-offs for performance, power, and cost.
  • Existing design flows may lack flexibility across different implementation technologies.

Purpose of the Study:

  • To propose a semi-automatic hardware/software (HW/SW) codesign flow.
  • To facilitate the design of low-power and low-cost Neuro-Fuzzy embedded systems.
  • To support diverse implementation technologies including software, digital, and analog.

Main Methods:

  • Utilized The Mathworks' Simulink environment for functional specification and performance analysis.

Related Experiment Videos

  • Developed a codesign flow capable of exploiting HW/SW and digital/analog implementation trade-offs.
  • Generated C, VHDL, and SKILL code for selected architectures.
  • Main Results:

    • Demonstrated a flexible codesign flow applicable to various technologies and architectures.
    • Enabled high-speed simulation of Simulink models and rapid design of Neuro-Fuzzy devices.
    • Facilitated analysis of critical performance criteria: timing, power, size, and cost.

    Conclusions:

    • The proposed semi-automatic HW/SW codesign flow effectively supports the development of optimized Neuro-Fuzzy embedded systems.
    • The flow allows designers to explore and exploit design trade-offs for low-power and low-cost solutions.
    • It enhances the prototyping and simulation capabilities for embedded system design.