Application of Rough Set-Based Neural Network in Forest Fire Alarm

A new method for forest fire alarm based on the neural network and rough set is proposed.Rough-set is used to preprocess the data by simplification and reduction,which can minimize the scale of attribute by removing the unnecessary attributes,so that enhance the convergence speed and accuracy of neural network.The efficiency of this method is proved by comparing of performance with the traditional method.