Implementation of a Novel Multiple Model Algorithm Based on Neural Network

摘要

In this project, a multiple model method using neural network has been developed. The multiple model method is a technique where the uncertainty is not modeled in only one model. First, multiple models are designed for the uncertainty. Second, each model is scored or estimated using statistical methods. Based on the score of models, the most suitable model is selected.