A Time-Delay Cascading Neural Network Architecture for Modeling Time-Dependent Predictor in Onset Prediction

Provided by: Science Productions
Topic: Networking
Format: PDF
The occurrence of rain before the real start of a rainy season often mislead farmers into thinking that rainy season has started and suggesting them to start planting immediately. In reality, rainy season has not started yet, causing the already-planted rice seed to experience dehydration. Therefore, a model that can predict the onset of rainy season is required, so that draught disaster can be avoided. This paper presents Time Delay-Cascading Neural Network (TD-CNN) which deals with situations where the response variable is determined by a number of time-dependent inter-related predictors.

Find By Topic