Neuro-Fuzzy Recognition System for Detecting Wave Patterns Using Wavelet Coefficients

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概要

• 論文の詳細を見る

• Recognition of specified wave patterns in one-dimensional signals is an important task in many application areas such as computer science, medical science, and geophysics. Many researchers have tried to automate this task with various techniques, recently the soft computing algorithms. This paper proposes a new neuro-fuzzy recognition system for detecting one-dimensional wave patterns using wavelet coefflcients as features of the signals and evolution strategy as the training algorithm of the system. The neuro-fuzzy recognition system first trains the wavelet coefficients of the training wave patterns and then evaluates the degree of matching between test wave patterns and the training wave patterns. This system was applied to picking first arrival events in seismic data. Experimental results with three seismic data showed that the system was very successful in terms of learning speed and performances.

• 社団法人電子情報通信学会の論文
• 2001-08-01

著者

• JUNG Sung

  Faculty of Electrical Engineering, KAIST

• Lee D

  Faculty Of School Of Information And Computer Engineering Hansung Univ.

• LEE Doo

  Faculty of School of Information and Computer Engineering, Hansung Univ.

• Jung Sung

  Faculty Of School Of Information And Computer Engineering Hansung Univ.

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• Neuro-Fuzzy Recognition System for Detecting Wave Patterns Using Wavelet Coefficients

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