A NOVEL PARAMETER ESTIMATION FUZZY NETWORK FOR TARGET APPROXIMATION

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NESHATIAN kourosh; TESHNEHLAB MOHAMMAD

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Seminar Paper

Paper Information

Seminar: CONFRANCE SALANE ANJOMANE COMPUTER IRAN
Year:2004 | Issue:9

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Title

A NOVEL PARAMETER ESTIMATION FUZZY NETWORK FOR TARGET APPROXIMATION

Author(s)

NESHATIAN kourosh | TESHNEHLAB MOHAMMAD

Keywords

FUZZY SYSTEMS

TSK SYSTEMS

ANFIS

CHAOTIC TIME SERIES

PREDICTION

ERROR BACK-PROPAGATION

Abstract

HERE WE INTRODUCE A NOVEL NEURO-FUZZY SYSTEM FOR APPROXIMATION AND PREDICTION OF COMPLEX PLANTS. THE PROPOSED SYSTEM USES PARAMETER ESTIMATION AND SCALING TECHNIQUES; SO CALLED PENTA WHICH STANDS FOR PARAMETER ESTIMATION NETWORK FOR TARGET APPROXIMATION. PENTA CONSISTS OF TWO MAJOR COMPONENTS: A SCALING COMPONENT AND A PARAMETER ESTIMATION UNIT. THE FIRST COMPONENT PROVIDES THE GAINS REQUIRED BY THE SECOND COMPONENT WHICH IS A SET OF PRIMITIVE FUNCTIONS USED FOR SCALING. SO THE OVERALL OUTPUT OF NETWORK IS A SYNTHETIC FUNCTION THAT IS LINEAR COMPOSITION OF THESE PARAMETERS AND PRIMITIVE FUNCTIONS. THESE TWO COMPONENTS HAVE BEEN EXPANDED THROUGH FIVE LAYERS OF A NEURO-FUZZY NETWORK. EXPERIMENTAL RESULTS SHOW THAT IN COMPARISON WITH CURRENT NEURO-FUZZY SYSTEMS LIKE ANFIS, THIS NOVEL SYSTEM CAN HAVE A BETTER ADAPTATION TO COMPLEX PLANTS. ALSO RESULTS SHOW THE UNIQUE CAPABILITY OF THIS SYSTEM, IN CONSECUTIVE PREDICTION OF CHAOTIC SYSTEMS.

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APA: Copy

NESHATIAN, kourosh, & TESHNEHLAB, MOHAMMAD. (2004). A NOVEL PARAMETER ESTIMATION FUZZY NETWORK FOR TARGET APPROXIMATION. Confrance Salane Anjomane Computer Iran. SID. https://sid.ir/paper/905581/en

Vancouver: Copy

NESHATIAN kourosh, TESHNEHLAB MOHAMMAD. A NOVEL PARAMETER ESTIMATION FUZZY NETWORK FOR TARGET APPROXIMATION. 2004. Available from: https://sid.ir/paper/905581/en

IEEE: Copy

kourosh NESHATIAN, and MOHAMMAD TESHNEHLAB, “A NOVEL PARAMETER ESTIMATION FUZZY NETWORK FOR TARGET APPROXIMATION,” presented at the Confrance Salane Anjomane Computer Iran. 2004, [Online]. Available: https://sid.ir/paper/905581/en

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