Abstract: A new genetic programming designing neuron functions, combining genetic programming and evolutionary algorithm, was proposed for hybrid identification of functional network structure and functional parameters by performing global optimal search in the complex solution space where the structures and parameters coexist and interact The method using hybrid base functions is different from traditional method approximate object function. The computing results show the high precision by the new method.

Key words: Hybrid base functions, Neuron function, Genetic programming, Evolutionary functional networks, Function approximation