Approaches to non-linearity compensation of pressure transducer based on HGA-RBFNN

A method is presented to compensate non-linearity of pressure transducer using non-linearity compensation model founded by HGA-RBFNN (hierarchical genetic algorithm RBF neural network). The principle and training method of neural networks are introduced. In this method, the configuration and parameters of non-linearity compensation model are optimized by HGA. The experimental results show that the method has the advantages of high precision and global searching ability. It makes convenient for the pressure transducer to be applied in the measurement.