Skip to main content
Book Chapter

Compromise Weighted Neuro — Fuzzy Systems

  • Rutkowski L
  • Cpałka K
Physica-Verlag HD, (2003), 557-562
DOI: 10.1007/978-3-7908-1902-1_85
N/ACitations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In the paper we present new neuro - fuzzy systems. They are called the AND-type fuzzy inference systems (NFIS). Based on the input - output data we learn not only parameters of membership functions but also a type of the systems and aggregating parameters. We propose the weighted T-norm and S-norm to neuro - fuzzy inference systems.

Cite

CITATION STYLE

APA

Rutkowski, L., & Cpałka, K. (2003). Compromise Weighted Neuro — Fuzzy Systems. In Neural Networks and Soft Computing (pp. 557–562). Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-1902-1_85

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free