Paper Industry, System Identification and Modeling
暂无分享,去创建一个
[1] John Moody,et al. Fast Learning in Networks of Locally-Tuned Processing Units , 1989, Neural Computation.
[2] Bhavik R. Bakshi,et al. Wave‐net: a multiresolution, hierarchical neural network with localized learning , 1993 .
[3] Jun Zhang,et al. Wavelet neural networks for function learning , 1995, IEEE Trans. Signal Process..
[4] Jooyoung Park,et al. Universal Approximation Using Radial-Basis-Function Networks , 1991, Neural Computation.
[5] Qinghua Zhang,et al. Wavelet networks , 1992, IEEE Trans. Neural Networks.
[6] Chris Bishop,et al. Improving the Generalization Properties of Radial Basis Function Neural Networks , 1991, Neural Computation.
[7] Bruce A. Whitehead,et al. Cooperative-competitive genetic evolution of radial basis function centers and widths for time series prediction , 1996, IEEE Trans. Neural Networks.
[8] Hong Chen,et al. Approximation capability to functions of several variables, nonlinear functionals, and operators by radial basis function neural networks , 1993, IEEE Trans. Neural Networks.
[9] O. Rioul,et al. Wavelets and signal processing , 1991, IEEE Signal Processing Magazine.
[10] R. Duffin,et al. A class of nonharmonic Fourier series , 1952 .
[11] Shang-Liang Chen,et al. Orthogonal least squares learning algorithm for radial basis function networks , 1991, IEEE Trans. Neural Networks.
[12] D. D. Bruns,et al. WaveARX neural network development for system identification using a systematic design synthesis , 1995 .