radial basis functions;  neural networks;  curve fitting;  Matlab simulation

Taking the algorithm design of ethanol gas detector as an example, the radial basis neural network was used to fit the calibration data obtained from 34 groups of ethanol gas concentration detection experiments, that is, the network design and simulation analysis were carried out by using the radial basis function in the Matlab environment. The results show that the algorithm based on radial base network has small data storage and good error performance, which meets the error requirements of the system, and the training time of the network is short and the convergence speed is fast.