Fuzzy functional-link net for seismic trace editing

Author

Huang, Kou-Yuan

Author_Institution

Inst. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan

Volume

3

fYear

1994

fDate

27 Jun-2 Jul 1994

Firstpage

1650

Abstract

A higher-order neural net incorporated with fuzzy concept in learning procedure is proposed. This net is called fuzzy functional-link net. Fuzzy functional-link net is applied to the seismic trace editing to determine the good or bad recording. Perceptron with pocket learning algorithm and multilayer perceptron are also applied to the seismic trace editing. Compared with the classification results, fuzzy functional-link net has good performance in learning time and recognition rate

Keywords

feedforward neural nets; fuzzy neural nets; geophysical prospecting; geophysical signal processing; geophysical techniques; multilayer perceptrons; seismology; explosion seismology; fuzzy functional-link net; geophysical prospecting; high-order neural net; measurement technique; multilayer perceptron; neural net; pocket learning algorithm; seismic reflection profiling; seismic trace editing; signal processing; Frequency; Fuzzy neural networks; Fuzzy set theory; Information science; Multilayer perceptrons; Nearest neighbor searches; Neural networks; Pattern recognition; Tensile stress; Vectors;

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.1994.374403

Filename

374403