SYSTEM AND METHOD OF USING GENETIC PROGRAMMING AND NEURAL NETWORK TECHNOLOGIES TO ENHANCE SPECTRAL DATA

摘要

A signal transformation method that transforms an input signal obtained from a subject under a first value of a parameter to an output signal obtainable from said subject under a second value of said parameter is disclosed. The method creates a plurality of neural networks and subjects them to learn the mapping transformation. Genetic programming is used to evolve said plurality of neural networks by applying genetic operators to alter the configurations of said plurality of neural networks. The process of neural learning and genetic altering repeats until a predetermined number of generations is reach. The neural network that performs the mapping transformation best can be selected as the optimal neural network. This optimal neural network can be used subsequently to transform a second input signal to a second output signal for a pre-defined value of the parameter. The method of deriving the mapping transformation and the method of using the optimal neural network can be implemented as software applications that run on a data processing system.