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Abstract:
提出一个基宽度可调的RBF神经网络学习算法,并将它应用于个股走势模式的分类问题. 文中对走势模式的特征编码进行了阐述,改进了原有的编码方案. 实例计算表明效果良好.
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福州大学学报(自然科学版)
ISSN: 1000-2243
CN: 35-1337/N
Year: 2000
Issue: 4
Volume: 28
Page: 12-15
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SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 0
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