Abstract: This paper studies the function approximation capabilities of FBP. The results here show the ordered monotony property, the continuous mapping theorem and the non-function approximation theorem. It is proved that although FBP still retain the continuous mapping property, their capabilities to approximate function are worse when compared with traditional neural networks.

Key words: function approximation capabilities, continuous function, fuzzy neural networks, backpropagation