In this paper, a basis selection algorithm for wavelet neural networks is proposed. The algorithm repeatedly selects a wavelet basis to reduce residual ...
In this paper, a basis selection algorithm for wavelet neural networks is proposed. The algorithm repeatedly selects a wavelet basis to reduce residual ...
In this paper, a basis selection algorithm for wavelet neural networks is proposed. The algorithm repeatedly selects a wavelet basis to reduce residual ...
In this paper, a basis selection algorithm for wavelet neural networks is proposed. The algorithm repeatedly selects a wavelet basis to reduce residual ...
In this paper, a basis selection algorithm for wavelet neural networks is proposed. The algorithm repeatedly selects a wavelet basis to reduce residual ...
In this paper, a new algorithm is proposed for the design of WNNs. The design is performed in an evolutionary way, which allowed us to construct a ...
TL;DR: In this paper, a new GA-based constructive algorithm is proposed for wavelet neural networks that is suitable to the high dimensional problems. ...read ...
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The selection of the wavelets is performed using the modified Gram-Schmidt algorithm that has better numerical properties and is computationally less expensive ...
In this paper, a new constructive algorithm for wavelet neural networks (WNN) is proposed. Employing the time-frequency localization property of wavelet, ...
Abstract—In this paper, a novel objective function is presented that incorporates both local and global error as well as model.