直连BP神经网络分类效果综合评估Comprehensive evaluation for classification effect of BPNN-DIOC
牛丽丽,王耀力,王力波
摘要(Abstract)：
基于贝叶斯正则化LM算法优化直连BP神经网络,利用UCI数据库的118种不同应用数据分别进行分类,验证直连BP神经网络的有效性。分别进行输入层到输出层是否有直连,输出层是否有阈值的四种比较,将所得的118种数据集分类精确度结果用统计方法进行分析。基于统计意义,实验结果表明,加入直连提高了分类的精确度和网络结构的泛化性能,且隐含层的神经元个数减少,提高了训练速度;而输出层是否有阈值对分类效果没有明显的影响。
关键词(KeyWords)： 直连神经网络;贝叶斯正则化;数据库;分类;统计方法;测试精确度
基金项目(Foundation): 全国工程专业学位研究生教育指导委员会立项项目(2016-ZX-095)~~
作者(Author): 牛丽丽,王耀力,王力波
DOI: 10.16652/j.issn.1004-373x.2018.23.020
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