The team combined the neural network and the partially linear additive model to proposed a Neural Partially Linear Additive Model (NPLAM), which can automatically distinguishes insignificant ...

We take a model selection approach to the question of whether a class of adaptive prediction models (artificial neural networks) is useful for predicting future values of nine macroeconomic variables.

It includes an online, i.e. learning-while-controlling, neural network. Lyapunov analysis guarantees the boundedness of tracking errors and network parameters. The performance of the controller is ...