Real time applications like model predictive control, monitoring and data reconciliation of power plants industrial processes employ nonlinear mathematical models require thermodynamic properties their derivatives working fluids. Applications super heater temperature control based on energy balance real reconciliation, an efficient a compact method for simultaneous estimation properties, partia...

A brand new ball game: Bayes net and neural net learning mechanisms in young children.

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...