A single layer fast learning fuzzy controller/filter

Author

Ulug, M.E.

Author_Institution

Intelligent Neurons Inc., Deerfield Beach, FL, USA

Volume

3

fYear

1994

fDate

27 Jun-2 Jul 1994

Firstpage

1662

Abstract

This paper describes an orthonormal neural network (ONN) designed to function as a fuzzy controller/filter. This single layer network is tested in simulating a third order function with two input variables. The simulation results are described. In this application ONN used one output and two input nodes, Each input node is connected to seven π functions to perform fuzzification resulting in 7²=49 fuzzy rules. The conclusions of these rules are the system output and they are given in numerical form. As a result of using a new fast learning algorithm, the training process requires only 100 cycles. The fuzzy controller with the help of some switching can function as a bandpass and/or in-band filter

Keywords

band-pass filters; filtering theory; fuzzy control; fuzzy neural nets; learning (artificial intelligence); neurocontrollers; bandpass filter; in-band filter; orthonormal neural network; single layer fast learning fuzzy controller/filter; Backpropagation; Band pass filters; Fourier series; Fuzzy control; Fuzzy neural networks; Intelligent networks; Neural networks; Neurons; Signal processing; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1901-X

Type

conf

DOI

10.1109/ICNN.1994.374406

Filename

374406