Abstract: An intelligent database usable for the material design has been studied. Informations (including graphics and text type data) about chemical composition, manufacture conditions and micro-structure data for various kinds of materials were stored in the database. These informations were analyzed by several methods such as graphic treatment, pattern recognition, artificial neural network and optimized policy decision to complete the design of materials prescription and the optimization of technological parameters. An example is introduced to illustrate the whole process.