51. The wavelet neural network using fuzzy concept for the nonlinear function learning approximation
- Author
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Oh-Sung Byun and Sung-Ryong Moon
- Subjects
Adaptive neuro fuzzy inference system ,Fuzzy classification ,Neuro-fuzzy ,Mathematics::General Mathematics ,business.industry ,Stationary wavelet transform ,Wavelet transform ,Pattern recognition ,Cascade algorithm ,Fuzzy logic ,Defuzzification ,ComputingMethodologies_GENERAL ,Artificial intelligence ,business ,Mathematics - Abstract
In this paper, it is proposed wavelet neural network using the fuzzy concept with the fuzzy and the multi-resolution analysis(MRA) of wavelet transform. Also, it wishes to improve any nonlinear function learning approximation using this system. Here, the fuzzy concept is used the bell type fuzzy membership function. And the composition of wavelet has a unit size. It is used the backpropagation algorithm for learning of wavelet neural network using the fuzzy concept. It is used the multi-resolution analysis of wavelet transform, the bell type fuzzy membership function and the backpropagation algorithm for learning. This structure is confirmed to be improved approximation performance than the conventional algorithms from one dimension and two dimensions function through simulation.
- Published
- 2002
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