Neural network modeling is a reliable tool for determining the moisture and temperature distribution in the course of drying process. In order to set up an appropriate model, sufficient number of measurements should be available for training the neural network. The sensitivity aspect of the neural network model should be taken into account during the training and validation. Generally saying, the NN can be successfully applied especially for process control purposes.
|Title of host publication||Encyclopedia of Earth Sciences Series|
|Number of pages||3|
|Publication status||Published - Jan 1 2011|
|Name||Encyclopedia of Earth Sciences Series|
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)