Abstract: Wireless sensor network is a typical application of wireless sensor and composed of the huge number of network nodes. It has been widely used in many fields. Neural network was introduced into the wireless sensor network,and the metes model of neural network was constructed by the neurons with the description for wireless sensor data. A wireless sensor network of the data gathering fusion and extraction was realized based on wireless sensor neural network model and the improved traditional neural network model. Through the various application type of differences influcnce data output, a predicting model was established by the choice of the main factors. The experimental prototype of one region in fire was carried out based on the forecast of the existing fire data for the training sample and through the network of convergence, the probability of occurrence in a fire was forecasted. The experimental results show that it is a feasible and effective method for data prediction using the wireless sensor network based on neural network.

Key words: Neural network,Wireless sensor network,Data prediction