Due to the limitation of Edlen Equation to compensate for air refractivity in ordinary air pressure, an experiment to study the relationship between air refractivity and temperature, along with its pressure, is design...Due to the limitation of Edlen Equation to compensate for air refractivity in ordinary air pressure, an experiment to study the relationship between air refractivity and temperature, along with its pressure, is designed and carried out from ordinary pressure to low pressure. The expansion of Edlen Equation is achieved by using the cascade-Correlation learning method, and a neural network architecture model. The applied accuracy of neural network is the same as that of Edlen Equation in an ordinary pressure zone.展开更多
提出了一个基于级连神经网络(Cascade-Correlation Neural Network,CCNN)和SVD(Singular Value Decomposition)的文本分类新模型。该神经网络用级连相关算法来训练网络。大部分的文本分类系统用向量空间模型(Vector Space Model,VSM)来...提出了一个基于级连神经网络(Cascade-Correlation Neural Network,CCNN)和SVD(Singular Value Decomposition)的文本分类新模型。该神经网络用级连相关算法来训练网络。大部分的文本分类系统用向量空间模型(Vector Space Model,VSM)来表现文档,然而这种方法需要很高的维度,并且考虑不到文本特征词间的语义隐含信息,因此分类效果不是太理想。引入SVD来学习和表现文本特征词,在降低特征维度的基础上,将文本特征的隐含信息表现出来。实验证明,在加快训练速度的基础上,提高了分类的精度。展开更多
文摘Due to the limitation of Edlen Equation to compensate for air refractivity in ordinary air pressure, an experiment to study the relationship between air refractivity and temperature, along with its pressure, is designed and carried out from ordinary pressure to low pressure. The expansion of Edlen Equation is achieved by using the cascade-Correlation learning method, and a neural network architecture model. The applied accuracy of neural network is the same as that of Edlen Equation in an ordinary pressure zone.
文摘提出了一个基于级连神经网络(Cascade-Correlation Neural Network,CCNN)和SVD(Singular Value Decomposition)的文本分类新模型。该神经网络用级连相关算法来训练网络。大部分的文本分类系统用向量空间模型(Vector Space Model,VSM)来表现文档,然而这种方法需要很高的维度,并且考虑不到文本特征词间的语义隐含信息,因此分类效果不是太理想。引入SVD来学习和表现文本特征词,在降低特征维度的基础上,将文本特征的隐含信息表现出来。实验证明,在加快训练速度的基础上,提高了分类的精度。
