Rumor detection is an important research topic in social networks, and lots of rumor models are proposed recent years. For the task, structural information a conversation can be used to extract effective features. However, many existing focus on local features while global between source tweet its replies not effectively used. To make full use content information, we propose Source-Replies rela...

the neural net for pattern p and output neuron k. This process has a similar minimization objective to that used in the well known least squares fitting method (LSF), where we normally would have k = 1 for the least squares curve fit. The difference between fitting data points with a neural net and fitting with the LSF technique is that with a neural net the fitted function is represented by th...

A novel neuro-based method is introduced to solve the laminar boundary layer and the turbulent free jet equations. The proposed method is based on cellular neural networks, CNNs, which are recently applied widely to solve partial differential equations. The effectiveness of the method is illustrated through some examples.

A novel neuro-based method is introduced to solve the laminar boundary layer and the turbulent free jet equations. The proposed method is based on cellular neural networks, CNNs, which are recently applied widely to solve partial differential equations. The effectiveness of the method is illustrated through some examples.