| 基于小波神经网络的NLAR(p)过程的逼近 |
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| 引用本文： | 朱石焕,吴曦.基于小波神经网络的NLAR(p)过程的逼近[J].数学季刊,2002,17(4):94-98. |
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| 作者姓名： | 朱石焕 吴曦 |
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| 作者单位： | [1]安阳师范学院数学系，河南安阳455000 [2]西北工业大学数学与信息科学系，陕西西安710072 |
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| 摘 要： | 小波神经网络是近年来发展起来的一种逼近非线性函数的新型人工神经网络。特别是，正交尺度函数为某函数的小波神经网络更适合于函数逼近。本文在此基础上讨论了小波神经网络对非线性AR(p)过程的逼近。
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| 关 键 词： | 小波神经网络 非线性函数 函数逼近 射影算子 支撑集 非线性自回归模式 正交尺度函数 |
Approximation to NLAR(p) with Wavelet Neural Networks |
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| ZHU Shi-huan,WU Xi.Approximation to NLAR(p) with Wavelet Neural Networks[J].Chinese Quarterly Journal of Mathematics,2002,17(4):94-98. |
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| Authors: | ZHU Shi-huan WU Xi |
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| Abstract: | Recently, wavelet neural networks have become a popular tool for non-linear functional approximation. Wavelet neural networks, which basis functions are orthonormal scalling functions, are more suitable in approximating to function. Based on it, approximating to NLAR(p) with wavelet neural networks is studied. |
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| Keywords: | wavelet neural networks orthonormal scaling functions NLAR(p) |
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