In hardware implementation of reservoir computing, network structure is tied to individual setups, and therefore their prediction performances are limited depending on the hardware configuration. We develop a tunable reservoir computing system based on iterative-function system. Optical affine parameters in the iterative-function systems modulate reservoir properties and improve the prediction performance.