Application of Fuzzy Closeness and Probabilistic Neural Network in Multi-Sensor Fusion

The method of fuzzy closeness was used to calculate the closeness between the detected value in multi-sensor detecting system and the real value and convert it to weight of the sensor more close to the real value, which can help get the measured value. Probabilistic neural network can classify the detecting degree with values measured by many kinds of sensors, and the target category can be obtained precisely and quickly. The application of both fuzzy closeness and probabilistic neural network has fast convergence rate and high precise. So the judgment can be made precisely and quickly in multi-sensor fusion system.