A MULTI-DIMENSION PREDICTOR BASED ON PDRNN FOR ENGINE ROOM MONITORING

This paper presents a new multi-dimension predictive model based on the diagonal recurrent neural networks (PDRNN) with a parallel learning algorithm. This method can be used to predict not only values, but also some points in the multidimension space. And also its applications in marine engine room will be discussed in the paper. Some analysis results show the significant improvement to multi parameters simultaneous prediction using the PDRNN algorithm in marine engine room.